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<div class="header">
  <div class="headertitle">
<div class="title">/data/users/matthijs/github_faiss/faiss/IndexScalarQuantizer.cpp</div>  </div>
</div><!--header-->
<div class="contents">
<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/**</span></div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2015-present, Facebook, Inc.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> * All rights reserved.</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> * This source code is licensed under the BSD+Patents license found in the</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * LICENSE file in the root directory of this source tree.</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;</div>
<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="preprocessor">#include &quot;IndexScalarQuantizer.h&quot;</span></div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;</div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#include &lt;cstdio&gt;</span></div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor">#include &lt;algorithm&gt;</span></div>
<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;</div>
<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="preprocessor">#include &lt;malloc.h&gt;</span></div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;</div>
<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="preprocessor">#include &lt;omp.h&gt;</span></div>
<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;</div>
<div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="preprocessor">#include &lt;immintrin.h&gt;</span></div>
<div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;</div>
<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="preprocessor">#include &quot;utils.h&quot;</span></div>
<div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;</div>
<div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="preprocessor">#include &quot;FaissAssert.h&quot;</span></div>
<div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;</div>
<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="keyword">namespace </span>faiss {</div>
<div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;</div>
<div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="comment">/*******************************************************************</span></div>
<div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="comment"> * ScalarQuantizer implementation</span></div>
<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="comment"> * The main source of complexity is to support combinations of 4</span></div>
<div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="comment"> * variants without incurring runtime tests or virtual function calls:</span></div>
<div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="comment"> * - 4 / 8 bits per code component</span></div>
<div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="comment"> * - uniform / non-uniform</span></div>
<div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="comment"> * - IP / L2 distance search</span></div>
<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="comment"> * - scalar / AVX distance computation</span></div>
<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="comment"> * The appropriate Quantizer object is returned via select_quantizer</span></div>
<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="comment"> * that hides the template mess.</span></div>
<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="comment"> ********************************************************************/</span></div>
<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;</div>
<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;<span class="preprocessor">#ifdef __AVX__</span></div>
<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;<span class="preprocessor"></span><span class="preprocessor">#define USE_AVX</span></div>
<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;<span class="preprocessor"></span><span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;</div>
<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;<span class="keyword">namespace </span>{</div>
<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;</div>
<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;<span class="keyword">typedef</span> <a class="code" href="structfaiss_1_1Index.html#a040c6aed1f224f3ea7bf58eebc0c31a4">Index::idx_t</a> idx_t;</div>
<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;<span class="keyword">typedef</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952e">ScalarQuantizer::QuantizerType</a> QuantizerType;</div>
<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;<span class="keyword">typedef</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06">ScalarQuantizer::RangeStat</a> RangeStat;</div>
<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;<span class="keyword">using</span> DistanceComputer = ScalarQuantizer::DistanceComputer;</div>
<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;</div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;</div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;<span class="comment">/*******************************************************************</span></div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;<span class="comment"> * Codec: converts between values in [0, 1] and an index in a code</span></div>
<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;<span class="comment"> * array. The &quot;i&quot; parameter is the vector component index (not byte</span></div>
<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;<span class="comment"> * index).</span></div>
<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;</div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;<span class="keyword">struct </span>Codec8bit {</div>
<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;</div>
<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;    <span class="keyword">static</span> <span class="keywordtype">void</span> encode_component (<span class="keywordtype">float</span> x, uint8_t *code, <span class="keywordtype">int</span> i) {</div>
<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;        code[i] = (int)(255 * x);</div>
<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;    }</div>
<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;</div>
<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;    <span class="keyword">static</span> <span class="keywordtype">float</span> decode_component (<span class="keyword">const</span> uint8_t *code, <span class="keywordtype">int</span> i) {</div>
<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;        <span class="keywordflow">return</span> (code[i] + 0.5f) / 255.0f;</div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    }</div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;</div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;<span class="preprocessor">#ifdef USE_AVX</span></div>
<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;<span class="preprocessor"></span>    <span class="keyword">static</span> __m256 decode_8_components (<span class="keyword">const</span> uint8_t *code, <span class="keywordtype">int</span> i) {</div>
<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;        uint64_t c8 = *(uint64_t*)(code + i);</div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;        __m128i c4lo = _mm_cvtepu8_epi32 (_mm_set1_epi32(c8));</div>
<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;        __m128i c4hi = _mm_cvtepu8_epi32 (_mm_set1_epi32(c8 &gt;&gt; 32));</div>
<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;        <span class="comment">// __m256i i8 = _mm256_set_m128i(c4lo, c4hi);</span></div>
<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;        __m256i i8 = _mm256_castsi128_si256 (c4lo);</div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;        i8 = _mm256_insertf128_si256 (i8, c4hi, 1);</div>
<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;        __m256 f8 = _mm256_cvtepi32_ps (i8);</div>
<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;        __m256 half = _mm256_set1_ps (0.5f);</div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;        f8 += half;</div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;        __m256 one_255 = _mm256_set1_ps (1.f / 255.f);</div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;        <span class="keywordflow">return</span> f8 * one_255;</div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    }</div>
<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;<span class="preprocessor"></span>};</div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;</div>
<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;</div>
<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;<span class="keyword">struct </span>Codec4bit {</div>
<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;</div>
<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;    <span class="keyword">static</span> <span class="keywordtype">void</span> encode_component (<span class="keywordtype">float</span> x, uint8_t *code, <span class="keywordtype">int</span> i) {</div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;        code [i / 2] |= (int)(x * 15.0) &lt;&lt; ((i &amp; 1) &lt;&lt; 2);</div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;    }</div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;</div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;    <span class="keyword">static</span> <span class="keywordtype">float</span> decode_component (<span class="keyword">const</span> uint8_t *code, <span class="keywordtype">int</span> i) {</div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;        <span class="keywordflow">return</span> (((code[i / 2] &gt;&gt; ((i &amp; 1) &lt;&lt; 2)) &amp; 0xf) + 0.5f) / 15.0f;</div>
<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;    }</div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;</div>
<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;</div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;<span class="preprocessor">#ifdef USE_AVX</span></div>
<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;<span class="preprocessor"></span>    <span class="keyword">static</span> __m256 decode_8_components (<span class="keyword">const</span> uint8_t *code, <span class="keywordtype">int</span> i) {</div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;        uint32_t c4 = *(uint32_t*)(code + (i &gt;&gt; 1));</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;        uint32_t mask = 0x0f0f0f0f;</div>
<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;        uint32_t c4ev = c4 &amp; mask;</div>
<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;        uint32_t c4od = (c4 &gt;&gt; 4) &amp; mask;</div>
<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;</div>
<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;        <span class="comment">// the 8 lower bytes of c8 contain the values</span></div>
<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;        __m128i c8 = _mm_unpacklo_epi8 (_mm_set1_epi32(c4ev),</div>
<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;                                        _mm_set1_epi32(c4od));</div>
<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;        __m128i c4lo = _mm_cvtepu8_epi32 (c8);</div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;        __m128i c4hi = _mm_cvtepu8_epi32 (_mm_srli_si128(c8, 4));</div>
<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;        __m256i i8 = _mm256_castsi128_si256 (c4lo);</div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;        i8 = _mm256_insertf128_si256 (i8, c4hi, 1);</div>
<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;        __m256 f8 = _mm256_cvtepi32_ps (i8);</div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;        __m256 half = _mm256_set1_ps (0.5f);</div>
<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;        f8 += half;</div>
<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;        __m256 one_255 = _mm256_set1_ps (1.f / 15.f);</div>
<div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;        <span class="keywordflow">return</span> f8 * one_255;</div>
<div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;    }</div>
<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;<span class="preprocessor"></span>};</div>
<div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;</div>
<div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;</div>
<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;</div>
<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;<span class="comment">/*******************************************************************</span></div>
<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;<span class="comment"> * Quantizer: normalizes scalar vector components, then passes them</span></div>
<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;<span class="comment"> * through a codec</span></div>
<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;</div>
<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;</div>
<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;</div>
<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;<span class="keyword">struct </span>Quantizer {</div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;    <span class="keyword">virtual</span> <span class="keywordtype">void</span> encode_vector(<span class="keyword">const</span> <span class="keywordtype">float</span> *x, uint8_t *code) <span class="keyword">const</span> = 0;</div>
<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;    <span class="keyword">virtual</span> <span class="keywordtype">void</span> decode_vector(<span class="keyword">const</span> uint8_t *code, <span class="keywordtype">float</span> *x) <span class="keyword">const</span> = 0;</div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;</div>
<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;</div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;    <span class="keyword">virtual</span> ~Quantizer() {}</div>
<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;};</div>
<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;</div>
<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;</div>
<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;</div>
<div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;</div>
<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;</div>
<div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">class</span> Codec&gt;</div>
<div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;<span class="keyword">struct </span>QuantizerUniform: Quantizer {</div>
<div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">size_t</span> d;</div>
<div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> vmin, vdiff;</div>
<div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;</div>
<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;    QuantizerUniform(<span class="keywordtype">size_t</span> d, <span class="keyword">const</span> std::vector&lt;float&gt; &amp;trained):</div>
<div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;        d(d), vmin(trained[0]), vdiff(trained[1])</div>
<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;    {</div>
<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;    }</div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;</div>
<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;    <span class="keywordtype">void</span> encode_vector(<span class="keyword">const</span> <span class="keywordtype">float</span>* x, uint8_t* code)<span class="keyword"> const override </span>{</div>
<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; d; i++) {</div>
<div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;        <span class="keywordtype">float</span> xi = (x[i] - vmin) / vdiff;</div>
<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;        <span class="keywordflow">if</span> (xi &lt; 0)</div>
<div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;          xi = 0;</div>
<div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;        <span class="keywordflow">if</span> (xi &gt; 1.0)</div>
<div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;          xi = 1.0;</div>
<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;        Codec::encode_component(xi, code, i);</div>
<div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;      }</div>
<div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;    }</div>
<div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;</div>
<div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;    <span class="keywordtype">void</span> decode_vector(<span class="keyword">const</span> uint8_t* code, <span class="keywordtype">float</span>* x)<span class="keyword"> const override </span>{</div>
<div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; d; i++) {</div>
<div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;        <span class="keywordtype">float</span> xi = Codec::decode_component(code, i);</div>
<div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;        x[i] = vmin + xi * vdiff;</div>
<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;      }</div>
<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;    }</div>
<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;</div>
<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;    <span class="keywordtype">float</span> reconstruct_component (<span class="keyword">const</span> uint8_t * code, <span class="keywordtype">int</span> i)<span class="keyword"> const</span></div>
<div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;        <span class="keywordtype">float</span> xi = Codec::decode_component (code, i);</div>
<div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;        <span class="keywordflow">return</span> vmin + xi * vdiff;</div>
<div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;    }</div>
<div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;</div>
<div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;};</div>
<div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;</div>
<div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;</div>
<div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;</div>
<div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;<span class="preprocessor">#ifdef USE_AVX</span></div>
<div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">class</span> Codec&gt;</div>
<div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;<span class="keyword">struct </span>QuantizerUniform8: QuantizerUniform&lt;Codec&gt; {</div>
<div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;</div>
<div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;    QuantizerUniform8 (<span class="keywordtype">size_t</span> d, <span class="keyword">const</span> std::vector&lt;float&gt; &amp;trained):</div>
<div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;        QuantizerUniform&lt;Codec&gt; (d, trained) {}</div>
<div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;</div>
<div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;    __m256 reconstruct_8_components (<span class="keyword">const</span> uint8_t * code, <span class="keywordtype">int</span> i)<span class="keyword"> const</span></div>
<div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;        __m256 xi = Codec::decode_8_components (code, i);</div>
<div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;        <span class="keywordflow">return</span> _mm256_set1_ps(this-&gt;vmin) + xi * _mm256_set1_ps (this-&gt;vdiff);</div>
<div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;    }</div>
<div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;</div>
<div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;};</div>
<div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;</div>
<div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;</div>
<div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;</div>
<div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">class</span> Codec&gt;</div>
<div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;<span class="keyword">struct </span>QuantizerNonUniform: Quantizer {</div>
<div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">size_t</span> d;</div>
<div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> *vmin, *vdiff;</div>
<div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;</div>
<div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;    QuantizerNonUniform(<span class="keywordtype">size_t</span> d, <span class="keyword">const</span> std::vector&lt;float&gt; &amp;trained):</div>
<div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;        d(d), vmin(trained.data()), vdiff(trained.data() + d) {}</div>
<div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;</div>
<div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;    <span class="keywordtype">void</span> encode_vector(<span class="keyword">const</span> <span class="keywordtype">float</span>* x, uint8_t* code)<span class="keyword"> const override </span>{</div>
<div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; d; i++) {</div>
<div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;        <span class="keywordtype">float</span> xi = (x[i] - vmin[i]) / vdiff[i];</div>
<div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;        <span class="keywordflow">if</span> (xi &lt; 0)</div>
<div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;          xi = 0;</div>
<div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;        <span class="keywordflow">if</span> (xi &gt; 1.0)</div>
<div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;          xi = 1.0;</div>
<div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;        Codec::encode_component(xi, code, i);</div>
<div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;      }</div>
<div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;    }</div>
<div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;</div>
<div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;    <span class="keywordtype">void</span> decode_vector(<span class="keyword">const</span> uint8_t* code, <span class="keywordtype">float</span>* x)<span class="keyword"> const override </span>{</div>
<div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; d; i++) {</div>
<div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;        <span class="keywordtype">float</span> xi = Codec::decode_component(code, i);</div>
<div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;        x[i] = vmin[i] + xi * vdiff[i];</div>
<div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;      }</div>
<div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;    }</div>
<div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;</div>
<div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;    <span class="keywordtype">float</span> reconstruct_component (<span class="keyword">const</span> uint8_t * code, <span class="keywordtype">int</span> i)<span class="keyword"> const</span></div>
<div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;        <span class="keywordtype">float</span> xi = Codec::decode_component (code, i);</div>
<div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;        <span class="keywordflow">return</span> vmin[i] + xi * vdiff[i];</div>
<div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;    }</div>
<div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;</div>
<div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;};</div>
<div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;</div>
<div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;</div>
<div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;<span class="preprocessor">#ifdef USE_AVX</span></div>
<div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">class</span> Codec&gt;</div>
<div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;<span class="keyword">struct </span>QuantizerNonUniform8: QuantizerNonUniform&lt;Codec&gt; {</div>
<div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;</div>
<div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;    QuantizerNonUniform8 (<span class="keywordtype">size_t</span> d, <span class="keyword">const</span> std::vector&lt;float&gt; &amp;trained):</div>
<div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;        QuantizerNonUniform&lt;Codec&gt; (d, trained) {}</div>
<div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;</div>
<div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;    __m256 reconstruct_8_components (<span class="keyword">const</span> uint8_t * code, <span class="keywordtype">int</span> i)<span class="keyword"> const</span></div>
<div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;        __m256 xi = Codec::decode_8_components (code, i);</div>
<div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;        <span class="keywordflow">return</span> _mm256_loadu_ps (this-&gt;vmin + i) + xi * _mm256_loadu_ps (this-&gt;vdiff + i);</div>
<div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;    }</div>
<div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;</div>
<div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;</div>
<div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;};</div>
<div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;</div>
<div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;Quantizer *select_quantizer (</div>
<div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;          QuantizerType qtype,</div>
<div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;          <span class="keywordtype">size_t</span> d, <span class="keyword">const</span> std::vector&lt;float&gt; &amp; trained)</div>
<div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;{</div>
<div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;<span class="preprocessor">#ifdef USE_AVX</span></div>
<div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;<span class="preprocessor"></span>    <span class="keywordflow">if</span> (d % 8 == 0) {</div>
<div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;        <span class="keywordflow">switch</span>(qtype) {</div>
<div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea1650389e3efa052ff60177d502328a2c">ScalarQuantizer::QT_8bit</a>:</div>
<div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">new</span> QuantizerNonUniform8&lt;Codec8bit&gt;(d, trained);</div>
<div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952eacd3d1bd71533a7bc52149e4b3d1db13b">ScalarQuantizer::QT_4bit</a>:</div>
<div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">new</span> QuantizerNonUniform8&lt;Codec4bit&gt;(d, trained);</div>
<div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea029f07a15ea64e7e73daaf9633ac429a">ScalarQuantizer::QT_8bit_uniform</a>:</div>
<div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">new</span> QuantizerUniform8&lt;Codec8bit&gt;(d, trained);</div>
<div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;        <span class="keywordflow">case</span> ScalarQuantizer::QT_4bit_uniform:</div>
<div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">new</span> QuantizerUniform8&lt;Codec4bit&gt;(d, trained);</div>
<div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;        }</div>
<div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;    } <span class="keywordflow">else</span></div>
<div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;<span class="preprocessor"></span>    {</div>
<div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;        <span class="keywordflow">switch</span>(qtype) {</div>
<div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea1650389e3efa052ff60177d502328a2c">ScalarQuantizer::QT_8bit</a>:</div>
<div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">new</span> QuantizerNonUniform&lt;Codec8bit&gt;(d, trained);</div>
<div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952eacd3d1bd71533a7bc52149e4b3d1db13b">ScalarQuantizer::QT_4bit</a>:</div>
<div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">new</span> QuantizerNonUniform&lt;Codec4bit&gt;(d, trained);</div>
<div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea029f07a15ea64e7e73daaf9633ac429a">ScalarQuantizer::QT_8bit_uniform</a>:</div>
<div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">new</span> QuantizerUniform&lt;Codec8bit&gt;(d, trained);</div>
<div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;        <span class="keywordflow">case</span> ScalarQuantizer::QT_4bit_uniform:</div>
<div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">new</span> QuantizerUniform&lt;Codec4bit&gt;(d, trained);</div>
<div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;        }</div>
<div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;    }</div>
<div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;    FAISS_THROW_MSG (<span class="stringliteral">&quot;unknown qtype&quot;</span>);</div>
<div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div>
<div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;}</div>
<div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;</div>
<div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;</div>
<div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;Quantizer *select_quantizer (<span class="keyword">const</span> ScalarQuantizer &amp;sq)</div>
<div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;{</div>
<div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;    <span class="keywordflow">return</span> select_quantizer (sq.qtype, sq.d, sq.trained);</div>
<div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;}</div>
<div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;</div>
<div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;</div>
<div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;</div>
<div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;</div>
<div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;<span class="comment">/*******************************************************************</span></div>
<div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;<span class="comment"> * Quantizer range training</span></div>
<div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;</div>
<div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;<span class="keyword">static</span> <span class="keywordtype">float</span> sqr (<span class="keywordtype">float</span> x) {</div>
<div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;    <span class="keywordflow">return</span> x * x;</div>
<div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;}</div>
<div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;</div>
<div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;</div>
<div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;<span class="keywordtype">void</span> train_Uniform(RangeStat rs, <span class="keywordtype">float</span> rs_arg,</div>
<div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;                   idx_t n, <span class="keywordtype">int</span> k, <span class="keyword">const</span> <span class="keywordtype">float</span> *x,</div>
<div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;                   std::vector&lt;float&gt; &amp; trained)</div>
<div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;{</div>
<div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;    trained.resize (2);</div>
<div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;    <span class="keywordtype">float</span> &amp; vmin = trained[0];</div>
<div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;    <span class="keywordtype">float</span> &amp; vmax = trained[1];</div>
<div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;</div>
<div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;    <span class="keywordflow">if</span> (rs == <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06aa52f2f14616c61c04baf6323d43588fd">ScalarQuantizer::RS_minmax</a>) {</div>
<div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;        vmin = HUGE_VAL; vmax = -HUGE_VAL;</div>
<div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; n; i++) {</div>
<div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;            <span class="keywordflow">if</span> (x[i] &lt; vmin) vmin = x[i];</div>
<div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;            <span class="keywordflow">if</span> (x[i] &gt; vmax) vmax = x[i];</div>
<div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160;        }</div>
<div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160;        <span class="keywordtype">float</span> vexp = (vmax - vmin) * rs_arg;</div>
<div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;        vmin -= vexp;</div>
<div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;        vmax += vexp;</div>
<div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;    } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (rs == <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06afb4b9f4ee9003fa0193e6de69632f7a0">ScalarQuantizer::RS_meanstd</a>) {</div>
<div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;        <span class="keywordtype">double</span> sum = 0, sum2 = 0;</div>
<div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; n; i++) {</div>
<div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;            sum += x[i];</div>
<div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160;            sum2 += x[i] * x[i];</div>
<div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;        }</div>
<div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;        <span class="keywordtype">float</span> mean = sum / n;</div>
<div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;        <span class="keywordtype">float</span> var = sum2 / n - mean * mean;</div>
<div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;        <span class="keywordtype">float</span> std = var &lt;= 0 ? 1.0 : sqrt(var);</div>
<div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;</div>
<div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;        vmin = mean - std * rs_arg ;</div>
<div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160;        vmax = mean + std * rs_arg ;</div>
<div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;    } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (rs == <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06ae41cccec3a7acbcb3a47fa63c2bfb4c8">ScalarQuantizer::RS_quantiles</a>) {</div>
<div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;        std::vector&lt;float&gt; x_copy(n);</div>
<div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160;        memcpy(x_copy.data(), x, n * <span class="keyword">sizeof</span>(*x));</div>
<div class="line"><a name="l00339"></a><span class="lineno">  339</span>&#160;        <span class="comment">// TODO just do a qucikselect</span></div>
<div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160;        std::sort(x_copy.begin(), x_copy.end());</div>
<div class="line"><a name="l00341"></a><span class="lineno">  341</span>&#160;        <span class="keywordtype">int</span> o = int(rs_arg * n);</div>
<div class="line"><a name="l00342"></a><span class="lineno">  342</span>&#160;        <span class="keywordflow">if</span> (o &lt; 0) o = 0;</div>
<div class="line"><a name="l00343"></a><span class="lineno">  343</span>&#160;        <span class="keywordflow">if</span> (o &gt; n - o) o = n / 2;</div>
<div class="line"><a name="l00344"></a><span class="lineno">  344</span>&#160;        vmin = x_copy[o];</div>
<div class="line"><a name="l00345"></a><span class="lineno">  345</span>&#160;        vmax = x_copy[n - 1 - o];</div>
<div class="line"><a name="l00346"></a><span class="lineno">  346</span>&#160;</div>
<div class="line"><a name="l00347"></a><span class="lineno">  347</span>&#160;    } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (rs == <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06ab0709ff74c1b882b64a7fdd7ca5df9a3">ScalarQuantizer::RS_optim</a>) {</div>
<div class="line"><a name="l00348"></a><span class="lineno">  348</span>&#160;        <span class="keywordtype">float</span> a, b;</div>
<div class="line"><a name="l00349"></a><span class="lineno">  349</span>&#160;        <span class="keywordtype">float</span> sx = 0;</div>
<div class="line"><a name="l00350"></a><span class="lineno">  350</span>&#160;        {</div>
<div class="line"><a name="l00351"></a><span class="lineno">  351</span>&#160;            vmin = HUGE_VAL, vmax = -HUGE_VAL;</div>
<div class="line"><a name="l00352"></a><span class="lineno">  352</span>&#160;            <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; n; i++) {</div>
<div class="line"><a name="l00353"></a><span class="lineno">  353</span>&#160;                <span class="keywordflow">if</span> (x[i] &lt; vmin) vmin = x[i];</div>
<div class="line"><a name="l00354"></a><span class="lineno">  354</span>&#160;                <span class="keywordflow">if</span> (x[i] &gt; vmax) vmax = x[i];</div>
<div class="line"><a name="l00355"></a><span class="lineno">  355</span>&#160;                sx += x[i];</div>
<div class="line"><a name="l00356"></a><span class="lineno">  356</span>&#160;            }</div>
<div class="line"><a name="l00357"></a><span class="lineno">  357</span>&#160;            b = vmin;</div>
<div class="line"><a name="l00358"></a><span class="lineno">  358</span>&#160;            a = (vmax - vmin) / (k - 1);</div>
<div class="line"><a name="l00359"></a><span class="lineno">  359</span>&#160;        }</div>
<div class="line"><a name="l00360"></a><span class="lineno">  360</span>&#160;        <span class="keywordtype">int</span> verbose = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00361"></a><span class="lineno">  361</span>&#160;        <span class="keywordtype">int</span> niter = 2000;</div>
<div class="line"><a name="l00362"></a><span class="lineno">  362</span>&#160;        <span class="keywordtype">float</span> last_err = -1;</div>
<div class="line"><a name="l00363"></a><span class="lineno">  363</span>&#160;        <span class="keywordtype">int</span> iter_last_err = 0;</div>
<div class="line"><a name="l00364"></a><span class="lineno">  364</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> it = 0; it &lt; niter; it++) {</div>
<div class="line"><a name="l00365"></a><span class="lineno">  365</span>&#160;            <span class="keywordtype">float</span> sn = 0, sn2 = 0, sxn = 0, err1 = 0;</div>
<div class="line"><a name="l00366"></a><span class="lineno">  366</span>&#160;</div>
<div class="line"><a name="l00367"></a><span class="lineno">  367</span>&#160;            <span class="keywordflow">for</span> (idx_t i = 0; i &lt; n; i++) {</div>
<div class="line"><a name="l00368"></a><span class="lineno">  368</span>&#160;                <span class="keywordtype">float</span> xi = x[i];</div>
<div class="line"><a name="l00369"></a><span class="lineno">  369</span>&#160;                <span class="keywordtype">float</span> ni = floor ((xi - b) / a + 0.5);</div>
<div class="line"><a name="l00370"></a><span class="lineno">  370</span>&#160;                <span class="keywordflow">if</span> (ni &lt; 0) ni = 0;</div>
<div class="line"><a name="l00371"></a><span class="lineno">  371</span>&#160;                <span class="keywordflow">if</span> (ni &gt;= k) ni = k - 1;</div>
<div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160;                err1 += sqr (xi - (ni * a + b));</div>
<div class="line"><a name="l00373"></a><span class="lineno">  373</span>&#160;                sn  += ni;</div>
<div class="line"><a name="l00374"></a><span class="lineno">  374</span>&#160;                sn2 += ni * ni;</div>
<div class="line"><a name="l00375"></a><span class="lineno">  375</span>&#160;                sxn += ni * xi;</div>
<div class="line"><a name="l00376"></a><span class="lineno">  376</span>&#160;            }</div>
<div class="line"><a name="l00377"></a><span class="lineno">  377</span>&#160;</div>
<div class="line"><a name="l00378"></a><span class="lineno">  378</span>&#160;            <span class="keywordflow">if</span> (err1 == last_err) {</div>
<div class="line"><a name="l00379"></a><span class="lineno">  379</span>&#160;                iter_last_err ++;</div>
<div class="line"><a name="l00380"></a><span class="lineno">  380</span>&#160;                <span class="keywordflow">if</span> (iter_last_err == 16) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00381"></a><span class="lineno">  381</span>&#160;            } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00382"></a><span class="lineno">  382</span>&#160;                last_err = err1;</div>
<div class="line"><a name="l00383"></a><span class="lineno">  383</span>&#160;                iter_last_err = 0;</div>
<div class="line"><a name="l00384"></a><span class="lineno">  384</span>&#160;            }</div>
<div class="line"><a name="l00385"></a><span class="lineno">  385</span>&#160;</div>
<div class="line"><a name="l00386"></a><span class="lineno">  386</span>&#160;            <span class="keywordtype">float</span> det = sqr (sn) - sn2 * n;</div>
<div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160;</div>
<div class="line"><a name="l00388"></a><span class="lineno">  388</span>&#160;            b = (sn * sxn - sn2 * sx) / det;</div>
<div class="line"><a name="l00389"></a><span class="lineno">  389</span>&#160;            a = (sn * sx - n * sxn) / det;</div>
<div class="line"><a name="l00390"></a><span class="lineno">  390</span>&#160;            <span class="keywordflow">if</span> (verbose) {</div>
<div class="line"><a name="l00391"></a><span class="lineno">  391</span>&#160;                printf (<span class="stringliteral">&quot;it %d, err1=%g            \r&quot;</span>, it, err1);</div>
<div class="line"><a name="l00392"></a><span class="lineno">  392</span>&#160;                fflush(stdout);</div>
<div class="line"><a name="l00393"></a><span class="lineno">  393</span>&#160;            }</div>
<div class="line"><a name="l00394"></a><span class="lineno">  394</span>&#160;        }</div>
<div class="line"><a name="l00395"></a><span class="lineno">  395</span>&#160;        <span class="keywordflow">if</span> (verbose) printf(<span class="stringliteral">&quot;\n&quot;</span>);</div>
<div class="line"><a name="l00396"></a><span class="lineno">  396</span>&#160;</div>
<div class="line"><a name="l00397"></a><span class="lineno">  397</span>&#160;        vmin = b;</div>
<div class="line"><a name="l00398"></a><span class="lineno">  398</span>&#160;        vmax = b + a * (k - 1);</div>
<div class="line"><a name="l00399"></a><span class="lineno">  399</span>&#160;</div>
<div class="line"><a name="l00400"></a><span class="lineno">  400</span>&#160;    } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00401"></a><span class="lineno">  401</span>&#160;        FAISS_THROW_MSG (<span class="stringliteral">&quot;Invalid qtype&quot;</span>);</div>
<div class="line"><a name="l00402"></a><span class="lineno">  402</span>&#160;    }</div>
<div class="line"><a name="l00403"></a><span class="lineno">  403</span>&#160;    vmax -= vmin;</div>
<div class="line"><a name="l00404"></a><span class="lineno">  404</span>&#160;}</div>
<div class="line"><a name="l00405"></a><span class="lineno">  405</span>&#160;</div>
<div class="line"><a name="l00406"></a><span class="lineno">  406</span>&#160;<span class="keywordtype">void</span> train_NonUniform(RangeStat rs, <span class="keywordtype">float</span> rs_arg,</div>
<div class="line"><a name="l00407"></a><span class="lineno">  407</span>&#160;                      idx_t n, <span class="keywordtype">int</span> d, <span class="keywordtype">int</span> k, <span class="keyword">const</span> <span class="keywordtype">float</span> *x,</div>
<div class="line"><a name="l00408"></a><span class="lineno">  408</span>&#160;                      std::vector&lt;float&gt; &amp; trained)</div>
<div class="line"><a name="l00409"></a><span class="lineno">  409</span>&#160;{</div>
<div class="line"><a name="l00410"></a><span class="lineno">  410</span>&#160;    trained.resize (2 * d);</div>
<div class="line"><a name="l00411"></a><span class="lineno">  411</span>&#160;    <span class="keywordtype">float</span> * vmin = trained.data();</div>
<div class="line"><a name="l00412"></a><span class="lineno">  412</span>&#160;    <span class="keywordtype">float</span> * vmax = trained.data() + d;</div>
<div class="line"><a name="l00413"></a><span class="lineno">  413</span>&#160;    <span class="keywordflow">if</span> (rs == <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06aa52f2f14616c61c04baf6323d43588fd">ScalarQuantizer::RS_minmax</a>) {</div>
<div class="line"><a name="l00414"></a><span class="lineno">  414</span>&#160;        memcpy (vmin, x, <span class="keyword">sizeof</span>(*x) * d);</div>
<div class="line"><a name="l00415"></a><span class="lineno">  415</span>&#160;        memcpy (vmax, x, <span class="keyword">sizeof</span>(*x) * d);</div>
<div class="line"><a name="l00416"></a><span class="lineno">  416</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 1; i &lt; n; i++) {</div>
<div class="line"><a name="l00417"></a><span class="lineno">  417</span>&#160;            <span class="keyword">const</span> <span class="keywordtype">float</span> *xi = x + i * d;</div>
<div class="line"><a name="l00418"></a><span class="lineno">  418</span>&#160;            <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j &lt; d; j++) {</div>
<div class="line"><a name="l00419"></a><span class="lineno">  419</span>&#160;                <span class="keywordflow">if</span> (xi[j] &lt; vmin[j]) vmin[j] = xi[j];</div>
<div class="line"><a name="l00420"></a><span class="lineno">  420</span>&#160;                <span class="keywordflow">if</span> (xi[j] &gt; vmax[j]) vmax[j] = xi[j];</div>
<div class="line"><a name="l00421"></a><span class="lineno">  421</span>&#160;            }</div>
<div class="line"><a name="l00422"></a><span class="lineno">  422</span>&#160;        }</div>
<div class="line"><a name="l00423"></a><span class="lineno">  423</span>&#160;        <span class="keywordtype">float</span> *vdiff = vmax;</div>
<div class="line"><a name="l00424"></a><span class="lineno">  424</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j &lt; d; j++) {</div>
<div class="line"><a name="l00425"></a><span class="lineno">  425</span>&#160;            <span class="keywordtype">float</span> vexp = (vmax[j] - vmin[j]) * rs_arg;</div>
<div class="line"><a name="l00426"></a><span class="lineno">  426</span>&#160;            vmin[j] -= vexp;</div>
<div class="line"><a name="l00427"></a><span class="lineno">  427</span>&#160;            vmax[j] += vexp;</div>
<div class="line"><a name="l00428"></a><span class="lineno">  428</span>&#160;            vdiff [j] = vmax[j] - vmin[j];</div>
<div class="line"><a name="l00429"></a><span class="lineno">  429</span>&#160;        }</div>
<div class="line"><a name="l00430"></a><span class="lineno">  430</span>&#160;    } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00431"></a><span class="lineno">  431</span>&#160;        <span class="comment">// transpose</span></div>
<div class="line"><a name="l00432"></a><span class="lineno">  432</span>&#160;        std::vector&lt;float&gt; xt(n * d);</div>
<div class="line"><a name="l00433"></a><span class="lineno">  433</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 1; i &lt; n; i++) {</div>
<div class="line"><a name="l00434"></a><span class="lineno">  434</span>&#160;            <span class="keyword">const</span> <span class="keywordtype">float</span> *xi = x + i * d;</div>
<div class="line"><a name="l00435"></a><span class="lineno">  435</span>&#160;            <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j &lt; d; j++) {</div>
<div class="line"><a name="l00436"></a><span class="lineno">  436</span>&#160;                xt[j * n + i] = xi[j];</div>
<div class="line"><a name="l00437"></a><span class="lineno">  437</span>&#160;            }</div>
<div class="line"><a name="l00438"></a><span class="lineno">  438</span>&#160;        }</div>
<div class="line"><a name="l00439"></a><span class="lineno">  439</span>&#160;        std::vector&lt;float&gt; trained_d(2);</div>
<div class="line"><a name="l00440"></a><span class="lineno">  440</span>&#160;<span class="preprocessor">#pragma omp parallel for</span></div>
<div class="line"><a name="l00441"></a><span class="lineno">  441</span>&#160;<span class="preprocessor"></span>        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j &lt; d; j++) {</div>
<div class="line"><a name="l00442"></a><span class="lineno">  442</span>&#160;            train_Uniform(rs, rs_arg,</div>
<div class="line"><a name="l00443"></a><span class="lineno">  443</span>&#160;                          n, k, xt.data() + j * n,</div>
<div class="line"><a name="l00444"></a><span class="lineno">  444</span>&#160;                          trained_d);</div>
<div class="line"><a name="l00445"></a><span class="lineno">  445</span>&#160;            vmin[j] = trained_d[0];</div>
<div class="line"><a name="l00446"></a><span class="lineno">  446</span>&#160;            vmax[j] = trained_d[1];</div>
<div class="line"><a name="l00447"></a><span class="lineno">  447</span>&#160;        }</div>
<div class="line"><a name="l00448"></a><span class="lineno">  448</span>&#160;    }</div>
<div class="line"><a name="l00449"></a><span class="lineno">  449</span>&#160;}</div>
<div class="line"><a name="l00450"></a><span class="lineno">  450</span>&#160;</div>
<div class="line"><a name="l00451"></a><span class="lineno">  451</span>&#160;</div>
<div class="line"><a name="l00452"></a><span class="lineno">  452</span>&#160;</div>
<div class="line"><a name="l00453"></a><span class="lineno">  453</span>&#160;<span class="comment">/*******************************************************************</span></div>
<div class="line"><a name="l00454"></a><span class="lineno">  454</span>&#160;<span class="comment"> * Similarity: gets vector components and computes a similarity wrt. a</span></div>
<div class="line"><a name="l00455"></a><span class="lineno">  455</span>&#160;<span class="comment"> * query vector stored in the object. The data fields just encapsulate</span></div>
<div class="line"><a name="l00456"></a><span class="lineno">  456</span>&#160;<span class="comment"> * an accumulator.</span></div>
<div class="line"><a name="l00457"></a><span class="lineno">  457</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00458"></a><span class="lineno">  458</span>&#160;</div>
<div class="line"><a name="l00459"></a><span class="lineno">  459</span>&#160;<span class="keyword">struct </span>SimilarityL2 {</div>
<div class="line"><a name="l00460"></a><span class="lineno">  460</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> *y, *yi;</div>
<div class="line"><a name="l00461"></a><span class="lineno">  461</span>&#160;</div>
<div class="line"><a name="l00462"></a><span class="lineno">  462</span>&#160;    <span class="keyword">explicit</span> SimilarityL2 (<span class="keyword">const</span> <span class="keywordtype">float</span> * y): y(y) {}</div>
<div class="line"><a name="l00463"></a><span class="lineno">  463</span>&#160;</div>
<div class="line"><a name="l00464"></a><span class="lineno">  464</span>&#160;    <span class="comment">/******* scalar accumulator *******/</span></div>
<div class="line"><a name="l00465"></a><span class="lineno">  465</span>&#160;</div>
<div class="line"><a name="l00466"></a><span class="lineno">  466</span>&#160;    <span class="keywordtype">float</span> accu;</div>
<div class="line"><a name="l00467"></a><span class="lineno">  467</span>&#160;</div>
<div class="line"><a name="l00468"></a><span class="lineno">  468</span>&#160;    <span class="keywordtype">void</span> begin () {</div>
<div class="line"><a name="l00469"></a><span class="lineno">  469</span>&#160;        accu = 0;</div>
<div class="line"><a name="l00470"></a><span class="lineno">  470</span>&#160;        yi = y;</div>
<div class="line"><a name="l00471"></a><span class="lineno">  471</span>&#160;    }</div>
<div class="line"><a name="l00472"></a><span class="lineno">  472</span>&#160;</div>
<div class="line"><a name="l00473"></a><span class="lineno">  473</span>&#160;    <span class="keywordtype">void</span> add_component (<span class="keywordtype">float</span> x) {</div>
<div class="line"><a name="l00474"></a><span class="lineno">  474</span>&#160;        <span class="keywordtype">float</span> tmp = *yi++ - x;</div>
<div class="line"><a name="l00475"></a><span class="lineno">  475</span>&#160;        accu += tmp * tmp;</div>
<div class="line"><a name="l00476"></a><span class="lineno">  476</span>&#160;    }</div>
<div class="line"><a name="l00477"></a><span class="lineno">  477</span>&#160;</div>
<div class="line"><a name="l00478"></a><span class="lineno">  478</span>&#160;    <span class="keywordtype">void</span> add_component_2 (<span class="keywordtype">float</span> x1, <span class="keywordtype">float</span> x2) {</div>
<div class="line"><a name="l00479"></a><span class="lineno">  479</span>&#160;        <span class="keywordtype">float</span> tmp = x1 - x2;</div>
<div class="line"><a name="l00480"></a><span class="lineno">  480</span>&#160;        accu += tmp * tmp;</div>
<div class="line"><a name="l00481"></a><span class="lineno">  481</span>&#160;    }</div>
<div class="line"><a name="l00482"></a><span class="lineno">  482</span>&#160;</div>
<div class="line"><a name="l00483"></a><span class="lineno">  483</span>&#160;    <span class="keywordtype">float</span> result () {</div>
<div class="line"><a name="l00484"></a><span class="lineno">  484</span>&#160;        <span class="keywordflow">return</span> accu;</div>
<div class="line"><a name="l00485"></a><span class="lineno">  485</span>&#160;    }</div>
<div class="line"><a name="l00486"></a><span class="lineno">  486</span>&#160;</div>
<div class="line"><a name="l00487"></a><span class="lineno">  487</span>&#160;<span class="preprocessor">#ifdef USE_AVX</span></div>
<div class="line"><a name="l00488"></a><span class="lineno">  488</span>&#160;<span class="preprocessor"></span>    __m256 accu8;</div>
<div class="line"><a name="l00489"></a><span class="lineno">  489</span>&#160;</div>
<div class="line"><a name="l00490"></a><span class="lineno">  490</span>&#160;    <span class="keywordtype">void</span> begin_8 () {</div>
<div class="line"><a name="l00491"></a><span class="lineno">  491</span>&#160;        accu8 = _mm256_setzero_ps();</div>
<div class="line"><a name="l00492"></a><span class="lineno">  492</span>&#160;        yi = y;</div>
<div class="line"><a name="l00493"></a><span class="lineno">  493</span>&#160;    }</div>
<div class="line"><a name="l00494"></a><span class="lineno">  494</span>&#160;</div>
<div class="line"><a name="l00495"></a><span class="lineno">  495</span>&#160;    <span class="keywordtype">void</span> add_8_components (__m256 x) {</div>
<div class="line"><a name="l00496"></a><span class="lineno">  496</span>&#160;        __m256 yiv = _mm256_loadu_ps (yi);</div>
<div class="line"><a name="l00497"></a><span class="lineno">  497</span>&#160;        yi += 8;</div>
<div class="line"><a name="l00498"></a><span class="lineno">  498</span>&#160;        __m256 tmp = yiv - x;</div>
<div class="line"><a name="l00499"></a><span class="lineno">  499</span>&#160;        accu8 += tmp * tmp;</div>
<div class="line"><a name="l00500"></a><span class="lineno">  500</span>&#160;    }</div>
<div class="line"><a name="l00501"></a><span class="lineno">  501</span>&#160;</div>
<div class="line"><a name="l00502"></a><span class="lineno">  502</span>&#160;    <span class="keywordtype">void</span> add_8_components_2 (__m256 x, __m256 y) {</div>
<div class="line"><a name="l00503"></a><span class="lineno">  503</span>&#160;        __m256 tmp = y - x;</div>
<div class="line"><a name="l00504"></a><span class="lineno">  504</span>&#160;        accu8 += tmp * tmp;</div>
<div class="line"><a name="l00505"></a><span class="lineno">  505</span>&#160;    }</div>
<div class="line"><a name="l00506"></a><span class="lineno">  506</span>&#160;</div>
<div class="line"><a name="l00507"></a><span class="lineno">  507</span>&#160;    <span class="keywordtype">float</span> result_8 () {</div>
<div class="line"><a name="l00508"></a><span class="lineno">  508</span>&#160;        __m256 sum = _mm256_hadd_ps(accu8, accu8);</div>
<div class="line"><a name="l00509"></a><span class="lineno">  509</span>&#160;        __m256 sum2 = _mm256_hadd_ps(sum, sum);</div>
<div class="line"><a name="l00510"></a><span class="lineno">  510</span>&#160;        <span class="comment">// now add the 0th and 4th component</span></div>
<div class="line"><a name="l00511"></a><span class="lineno">  511</span>&#160;        <span class="keywordflow">return</span></div>
<div class="line"><a name="l00512"></a><span class="lineno">  512</span>&#160;            _mm_cvtss_f32 (_mm256_castps256_ps128(sum2)) +</div>
<div class="line"><a name="l00513"></a><span class="lineno">  513</span>&#160;            _mm_cvtss_f32 (_mm256_extractf128_ps(sum2, 1));</div>
<div class="line"><a name="l00514"></a><span class="lineno">  514</span>&#160;    }</div>
<div class="line"><a name="l00515"></a><span class="lineno">  515</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00516"></a><span class="lineno">  516</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00517"></a><span class="lineno">  517</span>&#160;};</div>
<div class="line"><a name="l00518"></a><span class="lineno">  518</span>&#160;</div>
<div class="line"><a name="l00519"></a><span class="lineno">  519</span>&#160;</div>
<div class="line"><a name="l00520"></a><span class="lineno">  520</span>&#160;<span class="keyword">struct </span>SimilarityIP {</div>
<div class="line"><a name="l00521"></a><span class="lineno">  521</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> *y, *yi;</div>
<div class="line"><a name="l00522"></a><span class="lineno">  522</span>&#160;    <span class="comment">/******* scalar accumulator *******/</span></div>
<div class="line"><a name="l00523"></a><span class="lineno">  523</span>&#160;</div>
<div class="line"><a name="l00524"></a><span class="lineno">  524</span>&#160;    <span class="keywordtype">float</span> accu;</div>
<div class="line"><a name="l00525"></a><span class="lineno">  525</span>&#160;</div>
<div class="line"><a name="l00526"></a><span class="lineno">  526</span>&#160;    <span class="keyword">explicit</span> SimilarityIP (<span class="keyword">const</span> <span class="keywordtype">float</span> * y):</div>
<div class="line"><a name="l00527"></a><span class="lineno">  527</span>&#160;        y (y) {}</div>
<div class="line"><a name="l00528"></a><span class="lineno">  528</span>&#160;</div>
<div class="line"><a name="l00529"></a><span class="lineno">  529</span>&#160;    <span class="keywordtype">void</span> begin () {</div>
<div class="line"><a name="l00530"></a><span class="lineno">  530</span>&#160;        accu = 0;</div>
<div class="line"><a name="l00531"></a><span class="lineno">  531</span>&#160;        yi = y;</div>
<div class="line"><a name="l00532"></a><span class="lineno">  532</span>&#160;    }</div>
<div class="line"><a name="l00533"></a><span class="lineno">  533</span>&#160;</div>
<div class="line"><a name="l00534"></a><span class="lineno">  534</span>&#160;    <span class="keywordtype">void</span> add_component (<span class="keywordtype">float</span> x) {</div>
<div class="line"><a name="l00535"></a><span class="lineno">  535</span>&#160;        accu +=  *yi++ * x;</div>
<div class="line"><a name="l00536"></a><span class="lineno">  536</span>&#160;    }</div>
<div class="line"><a name="l00537"></a><span class="lineno">  537</span>&#160;</div>
<div class="line"><a name="l00538"></a><span class="lineno">  538</span>&#160;    <span class="keywordtype">void</span> add_component_2 (<span class="keywordtype">float</span> x1, <span class="keywordtype">float</span> x2) {</div>
<div class="line"><a name="l00539"></a><span class="lineno">  539</span>&#160;        accu +=  x1 * x2;</div>
<div class="line"><a name="l00540"></a><span class="lineno">  540</span>&#160;    }</div>
<div class="line"><a name="l00541"></a><span class="lineno">  541</span>&#160;</div>
<div class="line"><a name="l00542"></a><span class="lineno">  542</span>&#160;    <span class="keywordtype">float</span> result () {</div>
<div class="line"><a name="l00543"></a><span class="lineno">  543</span>&#160;        <span class="keywordflow">return</span> accu;</div>
<div class="line"><a name="l00544"></a><span class="lineno">  544</span>&#160;    }</div>
<div class="line"><a name="l00545"></a><span class="lineno">  545</span>&#160;</div>
<div class="line"><a name="l00546"></a><span class="lineno">  546</span>&#160;<span class="preprocessor">#ifdef USE_AVX</span></div>
<div class="line"><a name="l00547"></a><span class="lineno">  547</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00548"></a><span class="lineno">  548</span>&#160;    __m256 accu8;</div>
<div class="line"><a name="l00549"></a><span class="lineno">  549</span>&#160;</div>
<div class="line"><a name="l00550"></a><span class="lineno">  550</span>&#160;    <span class="keywordtype">void</span> begin_8 () {</div>
<div class="line"><a name="l00551"></a><span class="lineno">  551</span>&#160;        accu8 = _mm256_setzero_ps();</div>
<div class="line"><a name="l00552"></a><span class="lineno">  552</span>&#160;        yi = y;</div>
<div class="line"><a name="l00553"></a><span class="lineno">  553</span>&#160;    }</div>
<div class="line"><a name="l00554"></a><span class="lineno">  554</span>&#160;</div>
<div class="line"><a name="l00555"></a><span class="lineno">  555</span>&#160;    <span class="keywordtype">void</span> add_8_components (__m256 x) {</div>
<div class="line"><a name="l00556"></a><span class="lineno">  556</span>&#160;        __m256 yiv = _mm256_loadu_ps (yi);</div>
<div class="line"><a name="l00557"></a><span class="lineno">  557</span>&#160;        yi += 8;</div>
<div class="line"><a name="l00558"></a><span class="lineno">  558</span>&#160;        accu8 += yiv * x;</div>
<div class="line"><a name="l00559"></a><span class="lineno">  559</span>&#160;    }</div>
<div class="line"><a name="l00560"></a><span class="lineno">  560</span>&#160;</div>
<div class="line"><a name="l00561"></a><span class="lineno">  561</span>&#160;    <span class="keywordtype">void</span> add_8_components_2 (__m256 x1, __m256 x2) {</div>
<div class="line"><a name="l00562"></a><span class="lineno">  562</span>&#160;        accu8 += x1 * x2;</div>
<div class="line"><a name="l00563"></a><span class="lineno">  563</span>&#160;    }</div>
<div class="line"><a name="l00564"></a><span class="lineno">  564</span>&#160;</div>
<div class="line"><a name="l00565"></a><span class="lineno">  565</span>&#160;    <span class="keywordtype">float</span> result_8 () {</div>
<div class="line"><a name="l00566"></a><span class="lineno">  566</span>&#160;        __m256 sum = _mm256_hadd_ps(accu8, accu8);</div>
<div class="line"><a name="l00567"></a><span class="lineno">  567</span>&#160;        __m256 sum2 = _mm256_hadd_ps(sum, sum);</div>
<div class="line"><a name="l00568"></a><span class="lineno">  568</span>&#160;        <span class="comment">// now add the 0th and 4th component</span></div>
<div class="line"><a name="l00569"></a><span class="lineno">  569</span>&#160;        <span class="keywordflow">return</span></div>
<div class="line"><a name="l00570"></a><span class="lineno">  570</span>&#160;            _mm_cvtss_f32 (_mm256_castps256_ps128(sum2)) +</div>
<div class="line"><a name="l00571"></a><span class="lineno">  571</span>&#160;            _mm_cvtss_f32 (_mm256_extractf128_ps(sum2, 1));</div>
<div class="line"><a name="l00572"></a><span class="lineno">  572</span>&#160;    }</div>
<div class="line"><a name="l00573"></a><span class="lineno">  573</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00574"></a><span class="lineno">  574</span>&#160;<span class="preprocessor"></span>};</div>
<div class="line"><a name="l00575"></a><span class="lineno">  575</span>&#160;</div>
<div class="line"><a name="l00576"></a><span class="lineno">  576</span>&#160;</div>
<div class="line"><a name="l00577"></a><span class="lineno">  577</span>&#160;<span class="comment">/*******************************************************************</span></div>
<div class="line"><a name="l00578"></a><span class="lineno">  578</span>&#160;<span class="comment"> * DistanceComputer: combines a similarity and a quantizer to do</span></div>
<div class="line"><a name="l00579"></a><span class="lineno">  579</span>&#160;<span class="comment"> * code-to-vector or code-to-code comparisons</span></div>
<div class="line"><a name="l00580"></a><span class="lineno">  580</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00581"></a><span class="lineno">  581</span>&#160;</div>
<div class="line"><a name="l00582"></a><span class="lineno">  582</span>&#160;</div>
<div class="line"><a name="l00583"></a><span class="lineno">  583</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">class</span> Quantizer, <span class="keyword">class</span> Similarity&gt;</div>
<div class="line"><a name="l00584"></a><span class="lineno">  584</span>&#160;<span class="keyword">struct </span>DCTemplate : ScalarQuantizer::DistanceComputer {</div>
<div class="line"><a name="l00585"></a><span class="lineno">  585</span>&#160;</div>
<div class="line"><a name="l00586"></a><span class="lineno">  586</span>&#160;    Quantizer quant;</div>
<div class="line"><a name="l00587"></a><span class="lineno">  587</span>&#160;</div>
<div class="line"><a name="l00588"></a><span class="lineno">  588</span>&#160;    DCTemplate(<span class="keywordtype">size_t</span> d, <span class="keyword">const</span> std::vector&lt;float&gt; &amp;trained):</div>
<div class="line"><a name="l00589"></a><span class="lineno">  589</span>&#160;        quant(d, trained)</div>
<div class="line"><a name="l00590"></a><span class="lineno">  590</span>&#160;    {}</div>
<div class="line"><a name="l00591"></a><span class="lineno">  591</span>&#160;</div>
<div class="line"><a name="l00592"></a><span class="lineno">  592</span>&#160;    <span class="keywordtype">float</span> compute_distance (<span class="keyword">const</span> <span class="keywordtype">float</span> *x,</div>
<div class="line"><a name="l00593"></a><span class="lineno">  593</span>&#160;                            <span class="keyword">const</span> uint8_t *code)<span class="keyword"> override</span></div>
<div class="line"><a name="l00594"></a><span class="lineno">  594</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00595"></a><span class="lineno">  595</span>&#160;        Similarity sim(x);</div>
<div class="line"><a name="l00596"></a><span class="lineno">  596</span>&#160;        sim.begin();</div>
<div class="line"><a name="l00597"></a><span class="lineno">  597</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; quant.d; i ++) {</div>
<div class="line"><a name="l00598"></a><span class="lineno">  598</span>&#160;            <span class="keywordtype">float</span> xi = quant.reconstruct_component (code, i);</div>
<div class="line"><a name="l00599"></a><span class="lineno">  599</span>&#160;            sim.add_component (xi);</div>
<div class="line"><a name="l00600"></a><span class="lineno">  600</span>&#160;        }</div>
<div class="line"><a name="l00601"></a><span class="lineno">  601</span>&#160;        <span class="keywordflow">return</span> sim.result();</div>
<div class="line"><a name="l00602"></a><span class="lineno">  602</span>&#160;    }</div>
<div class="line"><a name="l00603"></a><span class="lineno">  603</span>&#160;</div>
<div class="line"><a name="l00604"></a><span class="lineno">  604</span>&#160;    <span class="keywordtype">float</span> compute_code_distance (<span class="keyword">const</span> uint8_t *code1,</div>
<div class="line"><a name="l00605"></a><span class="lineno">  605</span>&#160;                                 <span class="keyword">const</span> uint8_t *code2)<span class="keyword"> override</span></div>
<div class="line"><a name="l00606"></a><span class="lineno">  606</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00607"></a><span class="lineno">  607</span>&#160;        Similarity sim(<span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00608"></a><span class="lineno">  608</span>&#160;        sim.begin ();</div>
<div class="line"><a name="l00609"></a><span class="lineno">  609</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; quant.d; i ++) {</div>
<div class="line"><a name="l00610"></a><span class="lineno">  610</span>&#160;            <span class="keywordtype">float</span> x1 = quant.reconstruct_component (code1, i);</div>
<div class="line"><a name="l00611"></a><span class="lineno">  611</span>&#160;            <span class="keywordtype">float</span> x2 = quant.reconstruct_component (code2, i);</div>
<div class="line"><a name="l00612"></a><span class="lineno">  612</span>&#160;            sim.add_component_2 (x1, x2);</div>
<div class="line"><a name="l00613"></a><span class="lineno">  613</span>&#160;        }</div>
<div class="line"><a name="l00614"></a><span class="lineno">  614</span>&#160;        <span class="keywordflow">return</span> sim.result ();</div>
<div class="line"><a name="l00615"></a><span class="lineno">  615</span>&#160;    }</div>
<div class="line"><a name="l00616"></a><span class="lineno">  616</span>&#160;</div>
<div class="line"><a name="l00617"></a><span class="lineno">  617</span>&#160;};</div>
<div class="line"><a name="l00618"></a><span class="lineno">  618</span>&#160;</div>
<div class="line"><a name="l00619"></a><span class="lineno">  619</span>&#160;<span class="preprocessor">#ifdef USE_AVX</span></div>
<div class="line"><a name="l00620"></a><span class="lineno">  620</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00621"></a><span class="lineno">  621</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">class</span> Quantizer, <span class="keyword">class</span> Similarity&gt;</div>
<div class="line"><a name="l00622"></a><span class="lineno">  622</span>&#160;<span class="keyword">struct </span>DCTemplate_8 : ScalarQuantizer::DistanceComputer {</div>
<div class="line"><a name="l00623"></a><span class="lineno">  623</span>&#160;</div>
<div class="line"><a name="l00624"></a><span class="lineno">  624</span>&#160;    Quantizer quant;</div>
<div class="line"><a name="l00625"></a><span class="lineno">  625</span>&#160;</div>
<div class="line"><a name="l00626"></a><span class="lineno">  626</span>&#160;    DCTemplate_8(<span class="keywordtype">size_t</span> d, <span class="keyword">const</span> std::vector&lt;float&gt; &amp;trained):</div>
<div class="line"><a name="l00627"></a><span class="lineno">  627</span>&#160;        quant(d, trained)</div>
<div class="line"><a name="l00628"></a><span class="lineno">  628</span>&#160;    {}</div>
<div class="line"><a name="l00629"></a><span class="lineno">  629</span>&#160;</div>
<div class="line"><a name="l00630"></a><span class="lineno">  630</span>&#160;    <span class="keywordtype">float</span> compute_distance (<span class="keyword">const</span> <span class="keywordtype">float</span> *x,</div>
<div class="line"><a name="l00631"></a><span class="lineno">  631</span>&#160;                            <span class="keyword">const</span> uint8_t *code)<span class="keyword"> override</span></div>
<div class="line"><a name="l00632"></a><span class="lineno">  632</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00633"></a><span class="lineno">  633</span>&#160;        Similarity sim(x);</div>
<div class="line"><a name="l00634"></a><span class="lineno">  634</span>&#160;        sim.begin_8();</div>
<div class="line"><a name="l00635"></a><span class="lineno">  635</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; quant.d; i += 8) {</div>
<div class="line"><a name="l00636"></a><span class="lineno">  636</span>&#160;            __m256 xi = quant.reconstruct_8_components (code, i);</div>
<div class="line"><a name="l00637"></a><span class="lineno">  637</span>&#160;            sim.add_8_components (xi);</div>
<div class="line"><a name="l00638"></a><span class="lineno">  638</span>&#160;        }</div>
<div class="line"><a name="l00639"></a><span class="lineno">  639</span>&#160;        <span class="keywordflow">return</span> sim.result_8();</div>
<div class="line"><a name="l00640"></a><span class="lineno">  640</span>&#160;    }</div>
<div class="line"><a name="l00641"></a><span class="lineno">  641</span>&#160;</div>
<div class="line"><a name="l00642"></a><span class="lineno">  642</span>&#160;    <span class="keywordtype">float</span> compute_code_distance (<span class="keyword">const</span> uint8_t *code1,</div>
<div class="line"><a name="l00643"></a><span class="lineno">  643</span>&#160;                                 <span class="keyword">const</span> uint8_t *code2)<span class="keyword"> override</span></div>
<div class="line"><a name="l00644"></a><span class="lineno">  644</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00645"></a><span class="lineno">  645</span>&#160;        Similarity sim(<span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00646"></a><span class="lineno">  646</span>&#160;        sim.begin_8 ();</div>
<div class="line"><a name="l00647"></a><span class="lineno">  647</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; quant.d; i += 8) {</div>
<div class="line"><a name="l00648"></a><span class="lineno">  648</span>&#160;            __m256 x1 = quant.reconstruct_8_components (code1, i);</div>
<div class="line"><a name="l00649"></a><span class="lineno">  649</span>&#160;            __m256 x2 = quant.reconstruct_8_components (code2, i);</div>
<div class="line"><a name="l00650"></a><span class="lineno">  650</span>&#160;            sim.add_8_components_2 (x1, x2);</div>
<div class="line"><a name="l00651"></a><span class="lineno">  651</span>&#160;        }</div>
<div class="line"><a name="l00652"></a><span class="lineno">  652</span>&#160;        <span class="keywordflow">return</span> sim.result_8 ();</div>
<div class="line"><a name="l00653"></a><span class="lineno">  653</span>&#160;    }</div>
<div class="line"><a name="l00654"></a><span class="lineno">  654</span>&#160;</div>
<div class="line"><a name="l00655"></a><span class="lineno">  655</span>&#160;};</div>
<div class="line"><a name="l00656"></a><span class="lineno">  656</span>&#160;</div>
<div class="line"><a name="l00657"></a><span class="lineno">  657</span>&#160;</div>
<div class="line"><a name="l00658"></a><span class="lineno">  658</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00659"></a><span class="lineno">  659</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00660"></a><span class="lineno">  660</span>&#160;</div>
<div class="line"><a name="l00661"></a><span class="lineno">  661</span>&#160;</div>
<div class="line"><a name="l00662"></a><span class="lineno">  662</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">class</span> Sim&gt;</div>
<div class="line"><a name="l00663"></a><span class="lineno">  663</span>&#160;DistanceComputer *select_distance_computer (</div>
<div class="line"><a name="l00664"></a><span class="lineno">  664</span>&#160;          QuantizerType qtype,</div>
<div class="line"><a name="l00665"></a><span class="lineno">  665</span>&#160;          <span class="keywordtype">size_t</span> d, <span class="keyword">const</span> std::vector&lt;float&gt; &amp; trained)</div>
<div class="line"><a name="l00666"></a><span class="lineno">  666</span>&#160;{</div>
<div class="line"><a name="l00667"></a><span class="lineno">  667</span>&#160;<span class="preprocessor">#ifdef USE_AVX</span></div>
<div class="line"><a name="l00668"></a><span class="lineno">  668</span>&#160;<span class="preprocessor"></span>    <span class="keywordflow">if</span> (d % 8 == 0) {</div>
<div class="line"><a name="l00669"></a><span class="lineno">  669</span>&#160;        <span class="keywordflow">switch</span>(qtype) {</div>
<div class="line"><a name="l00670"></a><span class="lineno">  670</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea1650389e3efa052ff60177d502328a2c">ScalarQuantizer::QT_8bit</a>:</div>
<div class="line"><a name="l00671"></a><span class="lineno">  671</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">new</span> DCTemplate_8&lt;QuantizerNonUniform8</div>
<div class="line"><a name="l00672"></a><span class="lineno">  672</span>&#160;                                    &lt;Codec8bit&gt;, Sim&gt;(d, trained);</div>
<div class="line"><a name="l00673"></a><span class="lineno">  673</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952eacd3d1bd71533a7bc52149e4b3d1db13b">ScalarQuantizer::QT_4bit</a>:</div>
<div class="line"><a name="l00674"></a><span class="lineno">  674</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">new</span> DCTemplate_8&lt;QuantizerNonUniform8</div>
<div class="line"><a name="l00675"></a><span class="lineno">  675</span>&#160;                                    &lt;Codec4bit&gt;, Sim&gt;(d, trained);</div>
<div class="line"><a name="l00676"></a><span class="lineno">  676</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea029f07a15ea64e7e73daaf9633ac429a">ScalarQuantizer::QT_8bit_uniform</a>:</div>
<div class="line"><a name="l00677"></a><span class="lineno">  677</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">new</span> DCTemplate_8&lt;QuantizerUniform8</div>
<div class="line"><a name="l00678"></a><span class="lineno">  678</span>&#160;                                    &lt;Codec8bit&gt;, Sim&gt;(d, trained);</div>
<div class="line"><a name="l00679"></a><span class="lineno">  679</span>&#160;        <span class="keywordflow">case</span> ScalarQuantizer::QT_4bit_uniform:</div>
<div class="line"><a name="l00680"></a><span class="lineno">  680</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">new</span> DCTemplate_8&lt;QuantizerUniform8</div>
<div class="line"><a name="l00681"></a><span class="lineno">  681</span>&#160;                                    &lt;Codec4bit&gt;, Sim&gt;(d, trained);</div>
<div class="line"><a name="l00682"></a><span class="lineno">  682</span>&#160;        }</div>
<div class="line"><a name="l00683"></a><span class="lineno">  683</span>&#160;    } <span class="keywordflow">else</span></div>
<div class="line"><a name="l00684"></a><span class="lineno">  684</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00685"></a><span class="lineno">  685</span>&#160;<span class="preprocessor"></span>    {</div>
<div class="line"><a name="l00686"></a><span class="lineno">  686</span>&#160;        <span class="keywordflow">switch</span>(qtype) {</div>
<div class="line"><a name="l00687"></a><span class="lineno">  687</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea1650389e3efa052ff60177d502328a2c">ScalarQuantizer::QT_8bit</a>:</div>
<div class="line"><a name="l00688"></a><span class="lineno">  688</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">new</span> DCTemplate&lt;QuantizerNonUniform</div>
<div class="line"><a name="l00689"></a><span class="lineno">  689</span>&#160;                                  &lt;Codec8bit&gt;, Sim&gt;(d, trained);</div>
<div class="line"><a name="l00690"></a><span class="lineno">  690</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952eacd3d1bd71533a7bc52149e4b3d1db13b">ScalarQuantizer::QT_4bit</a>:</div>
<div class="line"><a name="l00691"></a><span class="lineno">  691</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">new</span> DCTemplate&lt;QuantizerNonUniform</div>
<div class="line"><a name="l00692"></a><span class="lineno">  692</span>&#160;                                  &lt;Codec4bit&gt;, Sim&gt;(d, trained);</div>
<div class="line"><a name="l00693"></a><span class="lineno">  693</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea029f07a15ea64e7e73daaf9633ac429a">ScalarQuantizer::QT_8bit_uniform</a>:</div>
<div class="line"><a name="l00694"></a><span class="lineno">  694</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">new</span> DCTemplate&lt;QuantizerUniform</div>
<div class="line"><a name="l00695"></a><span class="lineno">  695</span>&#160;                                  &lt;Codec8bit&gt;, Sim&gt;(d, trained);</div>
<div class="line"><a name="l00696"></a><span class="lineno">  696</span>&#160;        <span class="keywordflow">case</span> ScalarQuantizer::QT_4bit_uniform:</div>
<div class="line"><a name="l00697"></a><span class="lineno">  697</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">new</span> DCTemplate&lt;QuantizerUniform</div>
<div class="line"><a name="l00698"></a><span class="lineno">  698</span>&#160;                                  &lt;Codec4bit&gt;, Sim&gt;(d, trained);</div>
<div class="line"><a name="l00699"></a><span class="lineno">  699</span>&#160;        }</div>
<div class="line"><a name="l00700"></a><span class="lineno">  700</span>&#160;    }</div>
<div class="line"><a name="l00701"></a><span class="lineno">  701</span>&#160;    FAISS_THROW_MSG (<span class="stringliteral">&quot;unknown qtype&quot;</span>);</div>
<div class="line"><a name="l00702"></a><span class="lineno">  702</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div>
<div class="line"><a name="l00703"></a><span class="lineno">  703</span>&#160;}</div>
<div class="line"><a name="l00704"></a><span class="lineno">  704</span>&#160;</div>
<div class="line"><a name="l00705"></a><span class="lineno">  705</span>&#160;</div>
<div class="line"><a name="l00706"></a><span class="lineno">  706</span>&#160;</div>
<div class="line"><a name="l00707"></a><span class="lineno">  707</span>&#160;</div>
<div class="line"><a name="l00708"></a><span class="lineno">  708</span>&#160;</div>
<div class="line"><a name="l00709"></a><span class="lineno">  709</span>&#160;} <span class="comment">// anonymous namespace</span></div>
<div class="line"><a name="l00710"></a><span class="lineno">  710</span>&#160;</div>
<div class="line"><a name="l00711"></a><span class="lineno">  711</span>&#160;</div>
<div class="line"><a name="l00712"></a><span class="lineno">  712</span>&#160;</div>
<div class="line"><a name="l00713"></a><span class="lineno">  713</span>&#160;<span class="comment">/*******************************************************************</span></div>
<div class="line"><a name="l00714"></a><span class="lineno">  714</span>&#160;<span class="comment"> * ScalarQuantizer implementation</span></div>
<div class="line"><a name="l00715"></a><span class="lineno">  715</span>&#160;<span class="comment"> ********************************************************************/</span></div>
<div class="line"><a name="l00716"></a><span class="lineno">  716</span>&#160;</div>
<div class="line"><a name="l00717"></a><span class="lineno">  717</span>&#160;ScalarQuantizer::ScalarQuantizer</div>
<div class="line"><a name="l00718"></a><span class="lineno">  718</span>&#160;          (<span class="keywordtype">size_t</span> d, QuantizerType qtype):</div>
<div class="line"><a name="l00719"></a><span class="lineno">  719</span>&#160;              qtype (qtype), rangestat(RS_minmax), rangestat_arg(0), d (d)</div>
<div class="line"><a name="l00720"></a><span class="lineno">  720</span>&#160;{</div>
<div class="line"><a name="l00721"></a><span class="lineno">  721</span>&#160;    <span class="keywordflow">switch</span> (qtype) {</div>
<div class="line"><a name="l00722"></a><span class="lineno">  722</span>&#160;    <span class="keywordflow">case</span> QT_8bit: <span class="keywordflow">case</span> QT_8bit_uniform:</div>
<div class="line"><a name="l00723"></a><span class="lineno">  723</span>&#160;        code_size = <a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>;</div>
<div class="line"><a name="l00724"></a><span class="lineno">  724</span>&#160;        <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00725"></a><span class="lineno">  725</span>&#160;    <span class="keywordflow">case</span> QT_4bit: <span class="keywordflow">case</span> QT_4bit_uniform:</div>
<div class="line"><a name="l00726"></a><span class="lineno">  726</span>&#160;        code_size = (d + 1) / 2;</div>
<div class="line"><a name="l00727"></a><span class="lineno">  727</span>&#160;        <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00728"></a><span class="lineno">  728</span>&#160;    }</div>
<div class="line"><a name="l00729"></a><span class="lineno">  729</span>&#160;</div>
<div class="line"><a name="l00730"></a><span class="lineno">  730</span>&#160;}</div>
<div class="line"><a name="l00731"></a><span class="lineno">  731</span>&#160;</div>
<div class="line"><a name="l00732"></a><span class="lineno">  732</span>&#160;ScalarQuantizer::ScalarQuantizer ():</div>
<div class="line"><a name="l00733"></a><span class="lineno">  733</span>&#160;    qtype(QT_8bit),</div>
<div class="line"><a name="l00734"></a><span class="lineno">  734</span>&#160;    rangestat(RS_minmax), rangestat_arg(0), d (0), code_size(0)</div>
<div class="line"><a name="l00735"></a><span class="lineno">  735</span>&#160;{}</div>
<div class="line"><a name="l00736"></a><span class="lineno">  736</span>&#160;</div>
<div class="line"><a name="l00737"></a><span class="lineno">  737</span>&#160;<span class="keywordtype">void</span> ScalarQuantizer::train (<span class="keywordtype">size_t</span> n, <span class="keyword">const</span> <span class="keywordtype">float</span> *x)</div>
<div class="line"><a name="l00738"></a><span class="lineno">  738</span>&#160;{</div>
<div class="line"><a name="l00739"></a><span class="lineno">  739</span>&#160;    <span class="keywordtype">int</span> bit_per_dim =</div>
<div class="line"><a name="l00740"></a><span class="lineno">  740</span>&#160;        qtype == QT_4bit_uniform ? 4 :</div>
<div class="line"><a name="l00741"></a><span class="lineno">  741</span>&#160;        qtype == <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952eacd3d1bd71533a7bc52149e4b3d1db13b">QT_4bit</a> ? 4 :</div>
<div class="line"><a name="l00742"></a><span class="lineno">  742</span>&#160;        qtype == <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea029f07a15ea64e7e73daaf9633ac429a">QT_8bit_uniform</a> ? 8 :</div>
<div class="line"><a name="l00743"></a><span class="lineno">  743</span>&#160;        qtype == <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea1650389e3efa052ff60177d502328a2c">QT_8bit</a> ? 8 : -1;</div>
<div class="line"><a name="l00744"></a><span class="lineno">  744</span>&#160;</div>
<div class="line"><a name="l00745"></a><span class="lineno">  745</span>&#160;    <span class="keywordflow">switch</span> (qtype) {</div>
<div class="line"><a name="l00746"></a><span class="lineno">  746</span>&#160;    <span class="keywordflow">case</span> QT_4bit_uniform: <span class="keywordflow">case</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea029f07a15ea64e7e73daaf9633ac429a">QT_8bit_uniform</a>:</div>
<div class="line"><a name="l00747"></a><span class="lineno">  747</span>&#160;        train_Uniform (rangestat, rangestat_arg,</div>
<div class="line"><a name="l00748"></a><span class="lineno">  748</span>&#160;                       n * d, 1 &lt;&lt; bit_per_dim, x, trained);</div>
<div class="line"><a name="l00749"></a><span class="lineno">  749</span>&#160;        <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00750"></a><span class="lineno">  750</span>&#160;    <span class="keywordflow">case</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952eacd3d1bd71533a7bc52149e4b3d1db13b">QT_4bit</a>: <span class="keywordflow">case</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea1650389e3efa052ff60177d502328a2c">QT_8bit</a>:</div>
<div class="line"><a name="l00751"></a><span class="lineno">  751</span>&#160;        train_NonUniform (rangestat, rangestat_arg,</div>
<div class="line"><a name="l00752"></a><span class="lineno">  752</span>&#160;                          n, d, 1 &lt;&lt; bit_per_dim, x, trained);</div>
<div class="line"><a name="l00753"></a><span class="lineno">  753</span>&#160;        <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00754"></a><span class="lineno">  754</span>&#160;    }</div>
<div class="line"><a name="l00755"></a><span class="lineno">  755</span>&#160;}</div>
<div class="line"><a name="l00756"></a><span class="lineno">  756</span>&#160;</div>
<div class="line"><a name="l00757"></a><span class="lineno"><a class="line" href="structfaiss_1_1ScalarQuantizer.html#a2bccf276565c4f80fed3d0c715c58816">  757</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a2bccf276565c4f80fed3d0c715c58816">ScalarQuantizer::compute_codes</a> (<span class="keyword">const</span> <span class="keywordtype">float</span> * x,</div>
<div class="line"><a name="l00758"></a><span class="lineno">  758</span>&#160;                                     uint8_t * codes,</div>
<div class="line"><a name="l00759"></a><span class="lineno">  759</span>&#160;                                     <span class="keywordtype">size_t</span> n)<span class="keyword"> const</span></div>
<div class="line"><a name="l00760"></a><span class="lineno">  760</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00761"></a><span class="lineno">  761</span>&#160;    Quantizer *squant = select_quantizer (*<span class="keyword">this</span>);</div>
<div class="line"><a name="l00762"></a><span class="lineno">  762</span>&#160;    <a class="code" href="structfaiss_1_1ScopeDeleter1.html">ScopeDeleter1&lt;Quantizer&gt;</a> del(squant);</div>
<div class="line"><a name="l00763"></a><span class="lineno">  763</span>&#160;<span class="preprocessor">#pragma omp parallel for</span></div>
<div class="line"><a name="l00764"></a><span class="lineno">  764</span>&#160;<span class="preprocessor"></span>    <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; n; i++)</div>
<div class="line"><a name="l00765"></a><span class="lineno">  765</span>&#160;        squant-&gt;encode_vector (x + i * d, codes + i * <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a647b8774e4cd8ca5623a194f5c7f8a33">code_size</a>);</div>
<div class="line"><a name="l00766"></a><span class="lineno">  766</span>&#160;}</div>
<div class="line"><a name="l00767"></a><span class="lineno">  767</span>&#160;</div>
<div class="line"><a name="l00768"></a><span class="lineno"><a class="line" href="structfaiss_1_1ScalarQuantizer.html#a7ab9e9158da1777d45e6f9bf73bfd489">  768</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a7ab9e9158da1777d45e6f9bf73bfd489">ScalarQuantizer::decode</a> (<span class="keyword">const</span> uint8_t *codes, <span class="keywordtype">float</span> *x, <span class="keywordtype">size_t</span> n)<span class="keyword"> const</span></div>
<div class="line"><a name="l00769"></a><span class="lineno">  769</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00770"></a><span class="lineno">  770</span>&#160;    Quantizer *squant = select_quantizer (*<span class="keyword">this</span>);</div>
<div class="line"><a name="l00771"></a><span class="lineno">  771</span>&#160;    <a class="code" href="structfaiss_1_1ScopeDeleter1.html">ScopeDeleter1&lt;Quantizer&gt;</a> del(squant);</div>
<div class="line"><a name="l00772"></a><span class="lineno">  772</span>&#160;<span class="preprocessor">#pragma omp parallel for</span></div>
<div class="line"><a name="l00773"></a><span class="lineno">  773</span>&#160;<span class="preprocessor"></span>    <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; n; i++)</div>
<div class="line"><a name="l00774"></a><span class="lineno">  774</span>&#160;        squant-&gt;decode_vector (codes + i * <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a647b8774e4cd8ca5623a194f5c7f8a33">code_size</a>, x + i * d);</div>
<div class="line"><a name="l00775"></a><span class="lineno">  775</span>&#160;}</div>
<div class="line"><a name="l00776"></a><span class="lineno">  776</span>&#160;</div>
<div class="line"><a name="l00777"></a><span class="lineno">  777</span>&#160;</div>
<div class="line"><a name="l00778"></a><span class="lineno">  778</span>&#160;<a class="code" href="structfaiss_1_1ScalarQuantizer_1_1DistanceComputer.html">ScalarQuantizer::DistanceComputer</a> *ScalarQuantizer::get_distance_computer (</div>
<div class="line"><a name="l00779"></a><span class="lineno">  779</span>&#160;                                         <a class="code" href="namespacefaiss.html#afd12191c638da74760ff397cf319752c">MetricType</a> metric)<span class="keyword"></span></div>
<div class="line"><a name="l00780"></a><span class="lineno">  780</span>&#160;<span class="keyword">    const</span></div>
<div class="line"><a name="l00781"></a><span class="lineno">  781</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00782"></a><span class="lineno">  782</span>&#160;    <span class="keywordflow">if</span> (metric == METRIC_L2) {</div>
<div class="line"><a name="l00783"></a><span class="lineno">  783</span>&#160;        <span class="keywordflow">return</span> select_distance_computer&lt;SimilarityL2&gt;(qtype, <a class="code" href="structfaiss_1_1ScalarQuantizer.html#acd88af01ad1d06560cecc30bc38aef49">d</a>, <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a30b411b10780a74079bbbfaff678c86f">trained</a>);</div>
<div class="line"><a name="l00784"></a><span class="lineno">  784</span>&#160;    } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00785"></a><span class="lineno">  785</span>&#160;        <span class="keywordflow">return</span> select_distance_computer&lt;SimilarityIP&gt;(qtype, <a class="code" href="structfaiss_1_1ScalarQuantizer.html#acd88af01ad1d06560cecc30bc38aef49">d</a>, <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a30b411b10780a74079bbbfaff678c86f">trained</a>);</div>
<div class="line"><a name="l00786"></a><span class="lineno">  786</span>&#160;    }</div>
<div class="line"><a name="l00787"></a><span class="lineno">  787</span>&#160;}</div>
<div class="line"><a name="l00788"></a><span class="lineno">  788</span>&#160;</div>
<div class="line"><a name="l00789"></a><span class="lineno">  789</span>&#160;</div>
<div class="line"><a name="l00790"></a><span class="lineno">  790</span>&#160;<span class="comment">/*******************************************************************</span></div>
<div class="line"><a name="l00791"></a><span class="lineno">  791</span>&#160;<span class="comment"> * IndexScalarQuantizer implementation</span></div>
<div class="line"><a name="l00792"></a><span class="lineno">  792</span>&#160;<span class="comment"> ********************************************************************/</span></div>
<div class="line"><a name="l00793"></a><span class="lineno">  793</span>&#160;</div>
<div class="line"><a name="l00794"></a><span class="lineno">  794</span>&#160;IndexScalarQuantizer::IndexScalarQuantizer</div>
<div class="line"><a name="l00795"></a><span class="lineno"><a class="line" href="structfaiss_1_1IndexScalarQuantizer.html#a474ad5a50eb2e9f0d79f869855c57223">  795</a></span>&#160;                      (<span class="keywordtype">int</span> d, <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952e">ScalarQuantizer::QuantizerType</a> qtype,</div>
<div class="line"><a name="l00796"></a><span class="lineno">  796</span>&#160;                       <a class="code" href="namespacefaiss.html#afd12191c638da74760ff397cf319752c">MetricType</a> metric):</div>
<div class="line"><a name="l00797"></a><span class="lineno">  797</span>&#160;          <a class="code" href="structfaiss_1_1Index.html">Index</a>(d, metric),</div>
<div class="line"><a name="l00798"></a><span class="lineno">  798</span>&#160;          sq (d, qtype)</div>
<div class="line"><a name="l00799"></a><span class="lineno">  799</span>&#160;{</div>
<div class="line"><a name="l00800"></a><span class="lineno">  800</span>&#160;    is_trained = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00801"></a><span class="lineno">  801</span>&#160;    code_size = sq.code_size;</div>
<div class="line"><a name="l00802"></a><span class="lineno">  802</span>&#160;}</div>
<div class="line"><a name="l00803"></a><span class="lineno">  803</span>&#160;</div>
<div class="line"><a name="l00804"></a><span class="lineno">  804</span>&#160;</div>
<div class="line"><a name="l00805"></a><span class="lineno">  805</span>&#160;IndexScalarQuantizer::IndexScalarQuantizer ():</div>
<div class="line"><a name="l00806"></a><span class="lineno">  806</span>&#160;    <a class="code" href="structfaiss_1_1IndexScalarQuantizer.html">IndexScalarQuantizer</a>(0, <a class="code" href="structfaiss_1_1ScalarQuantizer.html">ScalarQuantizer</a>::QT_8bit)</div>
<div class="line"><a name="l00807"></a><span class="lineno">  807</span>&#160;{}</div>
<div class="line"><a name="l00808"></a><span class="lineno">  808</span>&#160;</div>
<div class="line"><a name="l00809"></a><span class="lineno"><a class="line" href="structfaiss_1_1IndexScalarQuantizer.html#a300647e9cdac9acd160f2c55c610056b">  809</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="structfaiss_1_1IndexScalarQuantizer.html#a300647e9cdac9acd160f2c55c610056b">IndexScalarQuantizer::train</a>(idx_t n, <span class="keyword">const</span> <span class="keywordtype">float</span>* x)</div>
<div class="line"><a name="l00810"></a><span class="lineno">  810</span>&#160;{</div>
<div class="line"><a name="l00811"></a><span class="lineno">  811</span>&#160;    <a class="code" href="structfaiss_1_1IndexScalarQuantizer.html#a71381f74754d8a54812e80af46a2a83a">sq</a>.train(n, x);</div>
<div class="line"><a name="l00812"></a><span class="lineno">  812</span>&#160;    <a class="code" href="structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f">is_trained</a> = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00813"></a><span class="lineno">  813</span>&#160;}</div>
<div class="line"><a name="l00814"></a><span class="lineno">  814</span>&#160;</div>
<div class="line"><a name="l00815"></a><span class="lineno"><a class="line" href="structfaiss_1_1IndexScalarQuantizer.html#ad49602f9ecfcaa2ec8737a449b69ccd7">  815</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="structfaiss_1_1IndexScalarQuantizer.html#ad49602f9ecfcaa2ec8737a449b69ccd7">IndexScalarQuantizer::add</a>(idx_t n, <span class="keyword">const</span> <span class="keywordtype">float</span>* x)</div>
<div class="line"><a name="l00816"></a><span class="lineno">  816</span>&#160;{</div>
<div class="line"><a name="l00817"></a><span class="lineno">  817</span>&#160;    FAISS_THROW_IF_NOT (<a class="code" href="structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f">is_trained</a>);</div>
<div class="line"><a name="l00818"></a><span class="lineno">  818</span>&#160;    <a class="code" href="structfaiss_1_1IndexScalarQuantizer.html#a861fa059f9d4ced9147e08193a2be9be">codes</a>.resize ((n + <a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a>) * code_size);</div>
<div class="line"><a name="l00819"></a><span class="lineno">  819</span>&#160;    <a class="code" href="structfaiss_1_1IndexScalarQuantizer.html#a71381f74754d8a54812e80af46a2a83a">sq</a>.<a class="code" href="structfaiss_1_1ScalarQuantizer.html#a2bccf276565c4f80fed3d0c715c58816">compute_codes</a> (x, &amp;<a class="code" href="structfaiss_1_1IndexScalarQuantizer.html#a861fa059f9d4ced9147e08193a2be9be">codes</a>[<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a> * code_size], n);</div>
<div class="line"><a name="l00820"></a><span class="lineno">  820</span>&#160;    <a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a> += n;</div>
<div class="line"><a name="l00821"></a><span class="lineno">  821</span>&#160;}</div>
<div class="line"><a name="l00822"></a><span class="lineno">  822</span>&#160;</div>
<div class="line"><a name="l00823"></a><span class="lineno">  823</span>&#160;</div>
<div class="line"><a name="l00824"></a><span class="lineno">  824</span>&#160;</div>
<div class="line"><a name="l00825"></a><span class="lineno">  825</span>&#160;<span class="keyword">namespace </span>{</div>
<div class="line"><a name="l00826"></a><span class="lineno">  826</span>&#160;</div>
<div class="line"><a name="l00827"></a><span class="lineno">  827</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">class</span> C&gt;</div>
<div class="line"><a name="l00828"></a><span class="lineno">  828</span>&#160;<span class="keywordtype">void</span> search_flat_scalar_quantizer(</div>
<div class="line"><a name="l00829"></a><span class="lineno">  829</span>&#160;        <span class="keyword">const</span> <a class="code" href="structfaiss_1_1IndexScalarQuantizer.html">IndexScalarQuantizer</a> &amp; index,</div>
<div class="line"><a name="l00830"></a><span class="lineno">  830</span>&#160;        idx_t n,</div>
<div class="line"><a name="l00831"></a><span class="lineno">  831</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">float</span>* x,</div>
<div class="line"><a name="l00832"></a><span class="lineno">  832</span>&#160;        idx_t k,</div>
<div class="line"><a name="l00833"></a><span class="lineno">  833</span>&#160;        <span class="keywordtype">float</span>* distances,</div>
<div class="line"><a name="l00834"></a><span class="lineno">  834</span>&#160;        idx_t* labels)</div>
<div class="line"><a name="l00835"></a><span class="lineno">  835</span>&#160;{</div>
<div class="line"><a name="l00836"></a><span class="lineno">  836</span>&#160;    <span class="keywordtype">size_t</span> code_size = index.code_size;</div>
<div class="line"><a name="l00837"></a><span class="lineno">  837</span>&#160;    <span class="keywordtype">size_t</span> d = index.<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>;</div>
<div class="line"><a name="l00838"></a><span class="lineno">  838</span>&#160;</div>
<div class="line"><a name="l00839"></a><span class="lineno">  839</span>&#160;<span class="preprocessor">#pragma omp parallel</span></div>
<div class="line"><a name="l00840"></a><span class="lineno">  840</span>&#160;<span class="preprocessor"></span>    {</div>
<div class="line"><a name="l00841"></a><span class="lineno">  841</span>&#160;        DistanceComputer *dc =</div>
<div class="line"><a name="l00842"></a><span class="lineno">  842</span>&#160;            index.<a class="code" href="structfaiss_1_1IndexScalarQuantizer.html#a71381f74754d8a54812e80af46a2a83a">sq</a>.get_distance_computer(index.<a class="code" href="structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e">metric_type</a>);</div>
<div class="line"><a name="l00843"></a><span class="lineno">  843</span>&#160;        <a class="code" href="structfaiss_1_1ScopeDeleter1.html">ScopeDeleter1&lt;DistanceComputer&gt;</a> del(dc);</div>
<div class="line"><a name="l00844"></a><span class="lineno">  844</span>&#160;</div>
<div class="line"><a name="l00845"></a><span class="lineno">  845</span>&#160;<span class="preprocessor">#pragma omp for</span></div>
<div class="line"><a name="l00846"></a><span class="lineno">  846</span>&#160;<span class="preprocessor"></span>        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; n; i++) {</div>
<div class="line"><a name="l00847"></a><span class="lineno">  847</span>&#160;            idx_t *idxi = labels + i * k;</div>
<div class="line"><a name="l00848"></a><span class="lineno">  848</span>&#160;            <span class="keywordtype">float</span> *simi = distances + i * k;</div>
<div class="line"><a name="l00849"></a><span class="lineno">  849</span>&#160;            heap_heapify&lt;C&gt; (k, simi, idxi);</div>
<div class="line"><a name="l00850"></a><span class="lineno">  850</span>&#160;</div>
<div class="line"><a name="l00851"></a><span class="lineno">  851</span>&#160;            <span class="keyword">const</span> <span class="keywordtype">float</span> *xi = x + i * d;</div>
<div class="line"><a name="l00852"></a><span class="lineno">  852</span>&#160;            <span class="keyword">const</span> uint8_t *ci = index.<a class="code" href="structfaiss_1_1IndexScalarQuantizer.html#a861fa059f9d4ced9147e08193a2be9be">codes</a>.data ();</div>
<div class="line"><a name="l00853"></a><span class="lineno">  853</span>&#160;</div>
<div class="line"><a name="l00854"></a><span class="lineno">  854</span>&#160;            <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j &lt; index.<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a>; j++) {</div>
<div class="line"><a name="l00855"></a><span class="lineno">  855</span>&#160;                <span class="keywordtype">float</span> accu = dc-&gt;compute_distance(xi, ci);</div>
<div class="line"><a name="l00856"></a><span class="lineno">  856</span>&#160;                <span class="keywordflow">if</span> (C::cmp (simi [0], accu)) {</div>
<div class="line"><a name="l00857"></a><span class="lineno">  857</span>&#160;                    heap_pop&lt;C&gt; (k, simi, idxi);</div>
<div class="line"><a name="l00858"></a><span class="lineno">  858</span>&#160;                    heap_push&lt;C&gt; (k, simi, idxi, accu, j);</div>
<div class="line"><a name="l00859"></a><span class="lineno">  859</span>&#160;                }</div>
<div class="line"><a name="l00860"></a><span class="lineno">  860</span>&#160;                ci += code_size;</div>
<div class="line"><a name="l00861"></a><span class="lineno">  861</span>&#160;            }</div>
<div class="line"><a name="l00862"></a><span class="lineno">  862</span>&#160;            heap_reorder&lt;C&gt; (k, simi, idxi);</div>
<div class="line"><a name="l00863"></a><span class="lineno">  863</span>&#160;        }</div>
<div class="line"><a name="l00864"></a><span class="lineno">  864</span>&#160;    }</div>
<div class="line"><a name="l00865"></a><span class="lineno">  865</span>&#160;</div>
<div class="line"><a name="l00866"></a><span class="lineno">  866</span>&#160;};</div>
<div class="line"><a name="l00867"></a><span class="lineno">  867</span>&#160;</div>
<div class="line"><a name="l00868"></a><span class="lineno">  868</span>&#160;}</div>
<div class="line"><a name="l00869"></a><span class="lineno">  869</span>&#160;</div>
<div class="line"><a name="l00870"></a><span class="lineno"><a class="line" href="structfaiss_1_1IndexScalarQuantizer.html#abf24732c29106bb808148c3d30599662">  870</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="structfaiss_1_1IndexScalarQuantizer.html#abf24732c29106bb808148c3d30599662">IndexScalarQuantizer::search</a>(</div>
<div class="line"><a name="l00871"></a><span class="lineno">  871</span>&#160;        idx_t n,</div>
<div class="line"><a name="l00872"></a><span class="lineno">  872</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">float</span>* x,</div>
<div class="line"><a name="l00873"></a><span class="lineno">  873</span>&#160;        idx_t k,</div>
<div class="line"><a name="l00874"></a><span class="lineno">  874</span>&#160;        <span class="keywordtype">float</span>* distances,</div>
<div class="line"><a name="l00875"></a><span class="lineno">  875</span>&#160;        idx_t* labels)<span class="keyword"> const</span></div>
<div class="line"><a name="l00876"></a><span class="lineno">  876</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00877"></a><span class="lineno">  877</span>&#160;    FAISS_THROW_IF_NOT (<a class="code" href="structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f">is_trained</a>);</div>
<div class="line"><a name="l00878"></a><span class="lineno">  878</span>&#160;    <span class="keywordflow">if</span> (<a class="code" href="structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e">metric_type</a> == METRIC_L2) {</div>
<div class="line"><a name="l00879"></a><span class="lineno">  879</span>&#160;        search_flat_scalar_quantizer&lt;CMax&lt;float, idx_t&gt; &gt; (*<span class="keyword">this</span>, n, x, k, distances, labels);</div>
<div class="line"><a name="l00880"></a><span class="lineno">  880</span>&#160;    } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00881"></a><span class="lineno">  881</span>&#160;        search_flat_scalar_quantizer&lt;CMin&lt;float, idx_t&gt; &gt; (*<span class="keyword">this</span>, n, x, k, distances, labels);</div>
<div class="line"><a name="l00882"></a><span class="lineno">  882</span>&#160;    }</div>
<div class="line"><a name="l00883"></a><span class="lineno">  883</span>&#160;}</div>
<div class="line"><a name="l00884"></a><span class="lineno">  884</span>&#160;</div>
<div class="line"><a name="l00885"></a><span class="lineno"><a class="line" href="structfaiss_1_1IndexScalarQuantizer.html#af0d6b901a2a02fff34e5c7c1ea5b8d55">  885</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="structfaiss_1_1IndexScalarQuantizer.html#af0d6b901a2a02fff34e5c7c1ea5b8d55">IndexScalarQuantizer::reset</a>()</div>
<div class="line"><a name="l00886"></a><span class="lineno">  886</span>&#160;{</div>
<div class="line"><a name="l00887"></a><span class="lineno">  887</span>&#160;    <a class="code" href="structfaiss_1_1IndexScalarQuantizer.html#a861fa059f9d4ced9147e08193a2be9be">codes</a>.clear();</div>
<div class="line"><a name="l00888"></a><span class="lineno">  888</span>&#160;    <a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a> = 0;</div>
<div class="line"><a name="l00889"></a><span class="lineno">  889</span>&#160;}</div>
<div class="line"><a name="l00890"></a><span class="lineno">  890</span>&#160;</div>
<div class="line"><a name="l00891"></a><span class="lineno"><a class="line" href="structfaiss_1_1IndexScalarQuantizer.html#a06e6935b75f0b209f65fffa1c9e1477c">  891</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="structfaiss_1_1IndexScalarQuantizer.html#a06e6935b75f0b209f65fffa1c9e1477c">IndexScalarQuantizer::reconstruct_n</a>(</div>
<div class="line"><a name="l00892"></a><span class="lineno">  892</span>&#160;             idx_t i0, idx_t ni, <span class="keywordtype">float</span>* recons)<span class="keyword"> const</span></div>
<div class="line"><a name="l00893"></a><span class="lineno">  893</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00894"></a><span class="lineno">  894</span>&#160;    Quantizer *squant = select_quantizer (<a class="code" href="structfaiss_1_1IndexScalarQuantizer.html#a71381f74754d8a54812e80af46a2a83a">sq</a>);</div>
<div class="line"><a name="l00895"></a><span class="lineno">  895</span>&#160;    <a class="code" href="structfaiss_1_1ScopeDeleter1.html">ScopeDeleter1&lt;Quantizer&gt;</a> del (squant);</div>
<div class="line"><a name="l00896"></a><span class="lineno">  896</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; ni; i++) {</div>
<div class="line"><a name="l00897"></a><span class="lineno">  897</span>&#160;        squant-&gt;decode_vector(&amp;<a class="code" href="structfaiss_1_1IndexScalarQuantizer.html#a861fa059f9d4ced9147e08193a2be9be">codes</a>[(i + i0) * code_size], recons + i * d);</div>
<div class="line"><a name="l00898"></a><span class="lineno">  898</span>&#160;    }</div>
<div class="line"><a name="l00899"></a><span class="lineno">  899</span>&#160;}</div>
<div class="line"><a name="l00900"></a><span class="lineno">  900</span>&#160;</div>
<div class="line"><a name="l00901"></a><span class="lineno"><a class="line" href="structfaiss_1_1IndexScalarQuantizer.html#a8fb8680f64465d643d96119da58099f3">  901</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="structfaiss_1_1IndexScalarQuantizer.html#a8fb8680f64465d643d96119da58099f3">IndexScalarQuantizer::reconstruct</a>(idx_t key, <span class="keywordtype">float</span>* recons)<span class="keyword"> const</span></div>
<div class="line"><a name="l00902"></a><span class="lineno">  902</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00903"></a><span class="lineno">  903</span>&#160;    <a class="code" href="structfaiss_1_1IndexScalarQuantizer.html#a06e6935b75f0b209f65fffa1c9e1477c">reconstruct_n</a>(key, 1, recons);</div>
<div class="line"><a name="l00904"></a><span class="lineno">  904</span>&#160;}</div>
<div class="line"><a name="l00905"></a><span class="lineno">  905</span>&#160;</div>
<div class="line"><a name="l00906"></a><span class="lineno">  906</span>&#160;</div>
<div class="line"><a name="l00907"></a><span class="lineno">  907</span>&#160;<span class="comment">/*******************************************************************</span></div>
<div class="line"><a name="l00908"></a><span class="lineno">  908</span>&#160;<span class="comment"> * IndexIVFScalarQuantizer implementation</span></div>
<div class="line"><a name="l00909"></a><span class="lineno">  909</span>&#160;<span class="comment"> ********************************************************************/</span></div>
<div class="line"><a name="l00910"></a><span class="lineno">  910</span>&#160;</div>
<div class="line"><a name="l00911"></a><span class="lineno">  911</span>&#160;IndexIVFScalarQuantizer::IndexIVFScalarQuantizer</div>
<div class="line"><a name="l00912"></a><span class="lineno">  912</span>&#160;          (<a class="code" href="structfaiss_1_1Index.html">Index</a> *quantizer, <span class="keywordtype">size_t</span> d, <span class="keywordtype">size_t</span> nlist,</div>
<div class="line"><a name="l00913"></a><span class="lineno">  913</span>&#160;           QuantizerType qtype, <a class="code" href="namespacefaiss.html#afd12191c638da74760ff397cf319752c">MetricType</a> metric):</div>
<div class="line"><a name="l00914"></a><span class="lineno">  914</span>&#160;              <a class="code" href="structfaiss_1_1IndexIVF.html">IndexIVF</a> (quantizer, d, nlist, 0, metric),</div>
<div class="line"><a name="l00915"></a><span class="lineno">  915</span>&#160;              sq (d, qtype)</div>
<div class="line"><a name="l00916"></a><span class="lineno">  916</span>&#160;{</div>
<div class="line"><a name="l00917"></a><span class="lineno">  917</span>&#160;    code_size = <a class="code" href="structfaiss_1_1IndexScalarQuantizer.html#a71381f74754d8a54812e80af46a2a83a">sq</a>.<a class="code" href="structfaiss_1_1ScalarQuantizer.html#a647b8774e4cd8ca5623a194f5c7f8a33">code_size</a>;</div>
<div class="line"><a name="l00918"></a><span class="lineno">  918</span>&#160;    <span class="comment">// was not known at construction time</span></div>
<div class="line"><a name="l00919"></a><span class="lineno">  919</span>&#160;    invlists-&gt;code_size = code_size;</div>
<div class="line"><a name="l00920"></a><span class="lineno">  920</span>&#160;    <a class="code" href="structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f">is_trained</a> = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00921"></a><span class="lineno">  921</span>&#160;}</div>
<div class="line"><a name="l00922"></a><span class="lineno">  922</span>&#160;</div>
<div class="line"><a name="l00923"></a><span class="lineno">  923</span>&#160;IndexIVFScalarQuantizer::IndexIVFScalarQuantizer ():</div>
<div class="line"><a name="l00924"></a><span class="lineno">  924</span>&#160;      IndexIVF ()</div>
<div class="line"><a name="l00925"></a><span class="lineno">  925</span>&#160;{}</div>
<div class="line"><a name="l00926"></a><span class="lineno">  926</span>&#160;</div>
<div class="line"><a name="l00927"></a><span class="lineno"><a class="line" href="structfaiss_1_1IndexIVFScalarQuantizer.html#ac05d7fbfed59c85d1cf8ae526d279744">  927</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="structfaiss_1_1IndexIVFScalarQuantizer.html#ac05d7fbfed59c85d1cf8ae526d279744">IndexIVFScalarQuantizer::train_residual</a> (idx_t n, <span class="keyword">const</span> <span class="keywordtype">float</span> *x)</div>
<div class="line"><a name="l00928"></a><span class="lineno">  928</span>&#160;{</div>
<div class="line"><a name="l00929"></a><span class="lineno">  929</span>&#160;    <span class="keywordtype">long</span> * idx = <span class="keyword">new</span> <span class="keywordtype">long</span> [n];</div>
<div class="line"><a name="l00930"></a><span class="lineno">  930</span>&#160;    <a class="code" href="structfaiss_1_1ScopeDeleter.html">ScopeDeleter&lt;long&gt;</a> del (idx);</div>
<div class="line"><a name="l00931"></a><span class="lineno">  931</span>&#160;    <a class="code" href="structfaiss_1_1Level1Quantizer.html#a3cf99e2ee92b8558a066f821efab95d5">quantizer</a>-&gt;<a class="code" href="structfaiss_1_1Index.html#a8bc5d8d1cd0dd7b34b3c98a9f76b4a9c">assign</a> (n, x, idx);</div>
<div class="line"><a name="l00932"></a><span class="lineno">  932</span>&#160;    <span class="keywordtype">float</span> *residuals = <span class="keyword">new</span> <span class="keywordtype">float</span> [n * <a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>];</div>
<div class="line"><a name="l00933"></a><span class="lineno">  933</span>&#160;    <a class="code" href="structfaiss_1_1ScopeDeleter.html">ScopeDeleter&lt;float&gt;</a> del2 (residuals);</div>
<div class="line"><a name="l00934"></a><span class="lineno">  934</span>&#160;</div>
<div class="line"><a name="l00935"></a><span class="lineno">  935</span>&#160;<span class="preprocessor">#pragma omp parallel for</span></div>
<div class="line"><a name="l00936"></a><span class="lineno">  936</span>&#160;<span class="preprocessor"></span>    <span class="keywordflow">for</span> (idx_t i = 0; i &lt; n; i++) {</div>
<div class="line"><a name="l00937"></a><span class="lineno">  937</span>&#160;        <a class="code" href="structfaiss_1_1Level1Quantizer.html#a3cf99e2ee92b8558a066f821efab95d5">quantizer</a>-&gt;<a class="code" href="structfaiss_1_1Index.html#aaae77608bbda70b1098897e9167a82f9">compute_residual</a> (x + i * d, residuals + i * d, idx[i]);</div>
<div class="line"><a name="l00938"></a><span class="lineno">  938</span>&#160;    }</div>
<div class="line"><a name="l00939"></a><span class="lineno">  939</span>&#160;</div>
<div class="line"><a name="l00940"></a><span class="lineno">  940</span>&#160;    sq.train (n, residuals);</div>
<div class="line"><a name="l00941"></a><span class="lineno">  941</span>&#160;</div>
<div class="line"><a name="l00942"></a><span class="lineno">  942</span>&#160;}</div>
<div class="line"><a name="l00943"></a><span class="lineno">  943</span>&#160;</div>
<div class="line"><a name="l00944"></a><span class="lineno">  944</span>&#160;</div>
<div class="line"><a name="l00945"></a><span class="lineno">  945</span>&#160;<span class="keywordtype">void</span> <a class="code" href="structfaiss_1_1IndexIVFScalarQuantizer.html#afa95c17787b7e3dbed9309b440d4d748">IndexIVFScalarQuantizer::add_with_ids</a></div>
<div class="line"><a name="l00946"></a><span class="lineno"><a class="line" href="structfaiss_1_1IndexIVFScalarQuantizer.html#afa95c17787b7e3dbed9309b440d4d748">  946</a></span>&#160;       (idx_t n, <span class="keyword">const</span> <span class="keywordtype">float</span> * x, <span class="keyword">const</span> <span class="keywordtype">long</span> *xids)</div>
<div class="line"><a name="l00947"></a><span class="lineno">  947</span>&#160;{</div>
<div class="line"><a name="l00948"></a><span class="lineno">  948</span>&#160;    FAISS_THROW_IF_NOT (is_trained);</div>
<div class="line"><a name="l00949"></a><span class="lineno">  949</span>&#160;    <span class="keywordtype">long</span> * idx = <span class="keyword">new</span> <span class="keywordtype">long</span> [n];</div>
<div class="line"><a name="l00950"></a><span class="lineno">  950</span>&#160;    <a class="code" href="structfaiss_1_1ScopeDeleter.html">ScopeDeleter&lt;long&gt;</a> del (idx);</div>
<div class="line"><a name="l00951"></a><span class="lineno">  951</span>&#160;    quantizer-&gt;assign (n, x, idx);</div>
<div class="line"><a name="l00952"></a><span class="lineno">  952</span>&#160;    <span class="keywordtype">size_t</span> nadd = 0;</div>
<div class="line"><a name="l00953"></a><span class="lineno">  953</span>&#160;    Quantizer *squant = select_quantizer (sq);</div>
<div class="line"><a name="l00954"></a><span class="lineno">  954</span>&#160;    <a class="code" href="structfaiss_1_1ScopeDeleter1.html">ScopeDeleter1&lt;Quantizer&gt;</a> del2 (squant);</div>
<div class="line"><a name="l00955"></a><span class="lineno">  955</span>&#160;</div>
<div class="line"><a name="l00956"></a><span class="lineno">  956</span>&#160;<span class="preprocessor">#pragma omp parallel reduction(+: nadd)</span></div>
<div class="line"><a name="l00957"></a><span class="lineno">  957</span>&#160;<span class="preprocessor"></span>    {</div>
<div class="line"><a name="l00958"></a><span class="lineno">  958</span>&#160;        std::vector&lt;float&gt; residual (d);</div>
<div class="line"><a name="l00959"></a><span class="lineno">  959</span>&#160;        std::vector&lt;uint8_t&gt; one_code (code_size);</div>
<div class="line"><a name="l00960"></a><span class="lineno">  960</span>&#160;        <span class="keywordtype">int</span> nt = omp_get_num_threads();</div>
<div class="line"><a name="l00961"></a><span class="lineno">  961</span>&#160;        <span class="keywordtype">int</span> rank = omp_get_thread_num();</div>
<div class="line"><a name="l00962"></a><span class="lineno">  962</span>&#160;</div>
<div class="line"><a name="l00963"></a><span class="lineno">  963</span>&#160;        <span class="comment">// each thread takes care of a subset of lists</span></div>
<div class="line"><a name="l00964"></a><span class="lineno">  964</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; n; i++) {</div>
<div class="line"><a name="l00965"></a><span class="lineno">  965</span>&#160;            <span class="keywordtype">long</span> list_no = idx [i];</div>
<div class="line"><a name="l00966"></a><span class="lineno">  966</span>&#160;            <span class="keywordflow">if</span> (list_no &gt;= 0 &amp;&amp; list_no % nt == rank) {</div>
<div class="line"><a name="l00967"></a><span class="lineno">  967</span>&#160;                <span class="keywordtype">long</span> <span class="keywordtype">id</span> = xids ? xids[i] : ntotal + i;</div>
<div class="line"><a name="l00968"></a><span class="lineno">  968</span>&#160;</div>
<div class="line"><a name="l00969"></a><span class="lineno">  969</span>&#160;                quantizer-&gt;compute_residual (</div>
<div class="line"><a name="l00970"></a><span class="lineno">  970</span>&#160;                      x + i * d, residual.data(), list_no);</div>
<div class="line"><a name="l00971"></a><span class="lineno">  971</span>&#160;</div>
<div class="line"><a name="l00972"></a><span class="lineno">  972</span>&#160;                squant-&gt;encode_vector (residual.data(), one_code.data());</div>
<div class="line"><a name="l00973"></a><span class="lineno">  973</span>&#160;</div>
<div class="line"><a name="l00974"></a><span class="lineno">  974</span>&#160;                invlists-&gt;add_entry (list_no, <span class="keywordtype">id</span>, one_code.data());</div>
<div class="line"><a name="l00975"></a><span class="lineno">  975</span>&#160;</div>
<div class="line"><a name="l00976"></a><span class="lineno">  976</span>&#160;                nadd++;</div>
<div class="line"><a name="l00977"></a><span class="lineno">  977</span>&#160;</div>
<div class="line"><a name="l00978"></a><span class="lineno">  978</span>&#160;            }</div>
<div class="line"><a name="l00979"></a><span class="lineno">  979</span>&#160;        }</div>
<div class="line"><a name="l00980"></a><span class="lineno">  980</span>&#160;    }</div>
<div class="line"><a name="l00981"></a><span class="lineno">  981</span>&#160;    ntotal += nadd;</div>
<div class="line"><a name="l00982"></a><span class="lineno">  982</span>&#160;}</div>
<div class="line"><a name="l00983"></a><span class="lineno">  983</span>&#160;</div>
<div class="line"><a name="l00984"></a><span class="lineno">  984</span>&#160;<span class="keyword">namespace </span>{</div>
<div class="line"><a name="l00985"></a><span class="lineno">  985</span>&#160;</div>
<div class="line"><a name="l00986"></a><span class="lineno">  986</span>&#160;</div>
<div class="line"><a name="l00987"></a><span class="lineno">  987</span>&#160;<span class="keywordtype">void</span> search_with_probes_ip (<span class="keyword">const</span> <a class="code" href="structfaiss_1_1IndexIVFScalarQuantizer.html">IndexIVFScalarQuantizer</a> &amp; index,</div>
<div class="line"><a name="l00988"></a><span class="lineno">  988</span>&#160;                         <span class="keyword">const</span> <span class="keywordtype">float</span> *x,</div>
<div class="line"><a name="l00989"></a><span class="lineno">  989</span>&#160;                         <span class="keyword">const</span> idx_t *cent_ids, <span class="keyword">const</span> <span class="keywordtype">float</span> *cent_dis,</div>
<div class="line"><a name="l00990"></a><span class="lineno">  990</span>&#160;                         DistanceComputer &amp; dc,</div>
<div class="line"><a name="l00991"></a><span class="lineno">  991</span>&#160;                         <span class="keywordtype">int</span> k, <span class="keywordtype">float</span> *simi, idx_t *idxi,</div>
<div class="line"><a name="l00992"></a><span class="lineno">  992</span>&#160;                         <span class="keywordtype">bool</span> store_pairs)</div>
<div class="line"><a name="l00993"></a><span class="lineno">  993</span>&#160;{</div>
<div class="line"><a name="l00994"></a><span class="lineno">  994</span>&#160;    <span class="keywordtype">int</span> nprobe = index.<a class="code" href="structfaiss_1_1IndexIVF.html#affed235eadf27a13d753ee4d33a1dc58">nprobe</a>;</div>
<div class="line"><a name="l00995"></a><span class="lineno">  995</span>&#160;    <span class="keywordtype">size_t</span> code_size = index.<a class="code" href="structfaiss_1_1IndexIVF.html#a46d1aeddb60643c5b3f096147c3e028f">code_size</a>;</div>
<div class="line"><a name="l00996"></a><span class="lineno">  996</span>&#160;    <span class="keywordtype">size_t</span> d = index.<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>;</div>
<div class="line"><a name="l00997"></a><span class="lineno">  997</span>&#160;    std::vector&lt;float&gt; decoded(d);</div>
<div class="line"><a name="l00998"></a><span class="lineno">  998</span>&#160;    minheap_heapify (k, simi, idxi);</div>
<div class="line"><a name="l00999"></a><span class="lineno">  999</span>&#160;    <span class="keywordtype">size_t</span> nscan = 0;</div>
<div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; nprobe; i++) {</div>
<div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>&#160;        idx_t list_no = cent_ids[i];</div>
<div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>&#160;        <span class="keywordflow">if</span> (list_no &lt; 0) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>&#160;        <span class="keywordtype">float</span> accu0 = cent_dis[i];</div>
<div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>&#160;</div>
<div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">size_t</span> list_size = index.<a class="code" href="structfaiss_1_1IndexIVF.html#aa0e8fc5e04cbd8e0dde61f98bc7dd0bc">invlists</a>-&gt;<a class="code" href="structfaiss_1_1InvertedLists.html#a9bd256053ee360473842105460fe285f">list_size</a> (list_no);</div>
<div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>&#160;        <span class="keyword">const</span> uint8_t * codes = index.<a class="code" href="structfaiss_1_1IndexIVF.html#aa0e8fc5e04cbd8e0dde61f98bc7dd0bc">invlists</a>-&gt;<a class="code" href="structfaiss_1_1InvertedLists.html#a60b12f9efe940b617a8380adceef4032">get_codes</a> (list_no);</div>
<div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>&#160;        <span class="keyword">const</span> idx_t * ids =</div>
<div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>&#160;            store_pairs ? <span class="keyword">nullptr</span> : index.<a class="code" href="structfaiss_1_1IndexIVF.html#aa0e8fc5e04cbd8e0dde61f98bc7dd0bc">invlists</a>-&gt;<a class="code" href="structfaiss_1_1InvertedLists.html#a3ab6b389d8d85c5fbf23889064df7e95">get_ids</a> (list_no);</div>
<div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>&#160;</div>
<div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>&#160;        SimilarityIP sim(x);</div>
<div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>&#160;</div>
<div class="line"><a name="l01012"></a><span class="lineno"> 1012</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j &lt; list_size; j++) {</div>
<div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>&#160;</div>
<div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>&#160;            <span class="keywordtype">float</span> accu = accu0 + dc.compute_distance(x, codes);</div>
<div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>&#160;</div>
<div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>&#160;            <span class="keywordflow">if</span> (accu &gt; simi [0]) {</div>
<div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>&#160;                minheap_pop (k, simi, idxi);</div>
<div class="line"><a name="l01018"></a><span class="lineno"> 1018</span>&#160;                <span class="keywordtype">long</span> <span class="keywordtype">id</span> = store_pairs ? (list_no &lt;&lt; 32 | j) : ids[j];</div>
<div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>&#160;                minheap_push (k, simi, idxi, accu, <span class="keywordtype">id</span>);</div>
<div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>&#160;            }</div>
<div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>&#160;            codes += code_size;</div>
<div class="line"><a name="l01022"></a><span class="lineno"> 1022</span>&#160;        }</div>
<div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>&#160;        nscan += list_size;</div>
<div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>&#160;        <span class="keywordflow">if</span> (index.<a class="code" href="structfaiss_1_1IndexIVF.html#a7f2dd34f66f8770acba74a0a591fa4a8">max_codes</a> &amp;&amp; nscan &gt; index.<a class="code" href="structfaiss_1_1IndexIVF.html#a7f2dd34f66f8770acba74a0a591fa4a8">max_codes</a>)</div>
<div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>&#160;            <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>&#160;    }</div>
<div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>&#160;    minheap_reorder (k, simi, idxi);</div>
<div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>&#160;}</div>
<div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>&#160;</div>
<div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>&#160;<span class="keywordtype">void</span> search_with_probes_L2 (<span class="keyword">const</span> IndexIVFScalarQuantizer &amp; index,</div>
<div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>&#160;                            <span class="keyword">const</span> <span class="keywordtype">float</span> *x_in,</div>
<div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>&#160;                            <span class="keyword">const</span> idx_t *cent_ids,</div>
<div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>&#160;                            <span class="keyword">const</span> Index *quantizer,</div>
<div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>&#160;                            DistanceComputer &amp; dc,</div>
<div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>&#160;                            <span class="keywordtype">int</span> k, <span class="keywordtype">float</span> *simi, idx_t *idxi,</div>
<div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>&#160;                            <span class="keywordtype">bool</span> store_pairs)</div>
<div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>&#160;{</div>
<div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>&#160;    <span class="keywordtype">int</span> nprobe = index.nprobe;</div>
<div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>&#160;    <span class="keywordtype">size_t</span> code_size = index.code_size;</div>
<div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>&#160;    <span class="keywordtype">size_t</span> d = index.d;</div>
<div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>&#160;    std::vector&lt;float&gt; x(d);</div>
<div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>&#160;    maxheap_heapify (k, simi, idxi);</div>
<div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>&#160;    <span class="keywordtype">size_t</span> nscan = 0;</div>
<div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; nprobe; i++) {</div>
<div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>&#160;        idx_t list_no = cent_ids[i];</div>
<div class="line"><a name="l01046"></a><span class="lineno"> 1046</span>&#160;        <span class="keywordflow">if</span> (list_no &lt; 0) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>&#160;</div>
<div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">size_t</span> list_size = index.invlists-&gt;list_size (list_no);</div>
<div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>&#160;        <span class="keyword">const</span> uint8_t * codes = index.invlists-&gt;get_codes (list_no);</div>
<div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>&#160;        <span class="keyword">const</span> idx_t * ids =</div>
<div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>&#160;            store_pairs ? <span class="keyword">nullptr</span> : index.invlists-&gt;get_ids (list_no);</div>
<div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>&#160;</div>
<div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>&#160;        <span class="comment">// shift of x_in wrt centroid</span></div>
<div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>&#160;        quantizer-&gt;compute_residual (x_in, x.data(), list_no);</div>
<div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>&#160;</div>
<div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j &lt; list_size; j++) {</div>
<div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>&#160;</div>
<div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>&#160;            <span class="keywordtype">float</span> dis = dc.compute_distance (x.data(), codes);</div>
<div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>&#160;</div>
<div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>&#160;            <span class="keywordflow">if</span> (dis &lt; simi [0]) {</div>
<div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>&#160;                maxheap_pop (k, simi, idxi);</div>
<div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>&#160;                <span class="keywordtype">long</span> <span class="keywordtype">id</span> = store_pairs ? (list_no &lt;&lt; 32 | j) : ids[j];</div>
<div class="line"><a name="l01063"></a><span class="lineno"> 1063</span>&#160;                maxheap_push (k, simi, idxi, dis, <span class="keywordtype">id</span>);</div>
<div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>&#160;            }</div>
<div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>&#160;            codes += code_size;</div>
<div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>&#160;        }</div>
<div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>&#160;        nscan += list_size;</div>
<div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>&#160;        <span class="keywordflow">if</span> (index.max_codes &amp;&amp; nscan &gt; index.max_codes)</div>
<div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>&#160;            <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>&#160;    }</div>
<div class="line"><a name="l01071"></a><span class="lineno"> 1071</span>&#160;    maxheap_reorder (k, simi, idxi);</div>
<div class="line"><a name="l01072"></a><span class="lineno"> 1072</span>&#160;}</div>
<div class="line"><a name="l01073"></a><span class="lineno"> 1073</span>&#160;</div>
<div class="line"><a name="l01074"></a><span class="lineno"> 1074</span>&#160;} <span class="comment">// anonymous namespace</span></div>
<div class="line"><a name="l01075"></a><span class="lineno"> 1075</span>&#160;</div>
<div class="line"><a name="l01076"></a><span class="lineno"><a class="line" href="structfaiss_1_1IndexIVFScalarQuantizer.html#a341e473a62adcb03e07e53f67c1a7358"> 1076</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="structfaiss_1_1IndexIVFScalarQuantizer.html#a341e473a62adcb03e07e53f67c1a7358">IndexIVFScalarQuantizer::search_preassigned</a> (</div>
<div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>&#160;                             idx_t n, <span class="keyword">const</span> <span class="keywordtype">float</span> *x, idx_t k,</div>
<div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>&#160;                             <span class="keyword">const</span> idx_t *idx,</div>
<div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>&#160;                             <span class="keyword">const</span> <span class="keywordtype">float</span> *dis,</div>
<div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>&#160;                             <span class="keywordtype">float</span> *distances, idx_t *labels,</div>
<div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>&#160;                             <span class="keywordtype">bool</span> store_pairs)<span class="keyword"> const</span></div>
<div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>&#160;    FAISS_THROW_IF_NOT (<a class="code" href="structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f">is_trained</a>);</div>
<div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>&#160;</div>
<div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>&#160;</div>
<div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>&#160;    <span class="keywordflow">if</span> (<a class="code" href="structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e">metric_type</a> == METRIC_INNER_PRODUCT) {</div>
<div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>&#160;<span class="preprocessor">#pragma omp parallel</span></div>
<div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>&#160;<span class="preprocessor"></span>        {</div>
<div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>&#160;            DistanceComputer *dc = sq.get_distance_computer (<a class="code" href="structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e">metric_type</a>);</div>
<div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>&#160;            <a class="code" href="structfaiss_1_1ScopeDeleter1.html">ScopeDeleter1&lt;DistanceComputer&gt;</a> del(dc);</div>
<div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>&#160;<span class="preprocessor">#pragma omp for</span></div>
<div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>&#160;<span class="preprocessor"></span>            <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; n; i++) {</div>
<div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>&#160;                search_with_probes_ip (*<span class="keyword">this</span>, x + i * d,</div>
<div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>&#160;                                       idx + i * nprobe, dis + i * nprobe, *dc,</div>
<div class="line"><a name="l01095"></a><span class="lineno"> 1095</span>&#160;                                       k, distances + i * k, labels + i * k,</div>
<div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>&#160;                                       store_pairs);</div>
<div class="line"><a name="l01097"></a><span class="lineno"> 1097</span>&#160;            }</div>
<div class="line"><a name="l01098"></a><span class="lineno"> 1098</span>&#160;        }</div>
<div class="line"><a name="l01099"></a><span class="lineno"> 1099</span>&#160;    } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l01100"></a><span class="lineno"> 1100</span>&#160;<span class="preprocessor">#pragma omp parallel</span></div>
<div class="line"><a name="l01101"></a><span class="lineno"> 1101</span>&#160;<span class="preprocessor"></span>        {</div>
<div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>&#160;            DistanceComputer *dc = sq.get_distance_computer (<a class="code" href="structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e">metric_type</a>);</div>
<div class="line"><a name="l01103"></a><span class="lineno"> 1103</span>&#160;            <a class="code" href="structfaiss_1_1ScopeDeleter1.html">ScopeDeleter1&lt;DistanceComputer&gt;</a> del(dc);</div>
<div class="line"><a name="l01104"></a><span class="lineno"> 1104</span>&#160;<span class="preprocessor">#pragma omp for</span></div>
<div class="line"><a name="l01105"></a><span class="lineno"> 1105</span>&#160;<span class="preprocessor"></span>            <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; n; i++) {</div>
<div class="line"><a name="l01106"></a><span class="lineno"> 1106</span>&#160;                search_with_probes_L2 (*<span class="keyword">this</span>, x + i * d,</div>
<div class="line"><a name="l01107"></a><span class="lineno"> 1107</span>&#160;                                       idx + i * nprobe, quantizer, *dc,</div>
<div class="line"><a name="l01108"></a><span class="lineno"> 1108</span>&#160;                                       k, distances + i * k, labels + i * k,</div>
<div class="line"><a name="l01109"></a><span class="lineno"> 1109</span>&#160;                                       store_pairs);</div>
<div class="line"><a name="l01110"></a><span class="lineno"> 1110</span>&#160;            }</div>
<div class="line"><a name="l01111"></a><span class="lineno"> 1111</span>&#160;        }</div>
<div class="line"><a name="l01112"></a><span class="lineno"> 1112</span>&#160;    }</div>
<div class="line"><a name="l01113"></a><span class="lineno"> 1113</span>&#160;</div>
<div class="line"><a name="l01114"></a><span class="lineno"> 1114</span>&#160;}</div>
<div class="line"><a name="l01115"></a><span class="lineno"> 1115</span>&#160;</div>
<div class="line"><a name="l01116"></a><span class="lineno"><a class="line" href="structfaiss_1_1IndexIVFScalarQuantizer.html#a0320af8f30a0e3491853743b8f6d0faa"> 1116</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="structfaiss_1_1IndexIVFScalarQuantizer.html#a0320af8f30a0e3491853743b8f6d0faa">IndexIVFScalarQuantizer::reconstruct_from_offset</a> (<span class="keywordtype">long</span> list_no,</div>
<div class="line"><a name="l01117"></a><span class="lineno"> 1117</span>&#160;                                                       <span class="keywordtype">long</span> offset,</div>
<div class="line"><a name="l01118"></a><span class="lineno"> 1118</span>&#160;                                                       <span class="keywordtype">float</span>* recons)<span class="keyword"> const</span></div>
<div class="line"><a name="l01119"></a><span class="lineno"> 1119</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>&#160;    std::vector&lt;float&gt; centroid(d);</div>
<div class="line"><a name="l01121"></a><span class="lineno"> 1121</span>&#160;    quantizer-&gt;reconstruct (list_no, centroid.data());</div>
<div class="line"><a name="l01122"></a><span class="lineno"> 1122</span>&#160;</div>
<div class="line"><a name="l01123"></a><span class="lineno"> 1123</span>&#160;    <span class="keyword">const</span> uint8_t* code = <a class="code" href="structfaiss_1_1IndexIVF.html#aa0e8fc5e04cbd8e0dde61f98bc7dd0bc">invlists</a>-&gt;<a class="code" href="structfaiss_1_1InvertedLists.html#afc2760bed7c210f2fad9b03109f561ee">get_single_code</a> (list_no, offset);</div>
<div class="line"><a name="l01124"></a><span class="lineno"> 1124</span>&#160;    sq.<a class="code" href="structfaiss_1_1ScalarQuantizer.html#a7ab9e9158da1777d45e6f9bf73bfd489">decode</a> (code, recons, 1);</div>
<div class="line"><a name="l01125"></a><span class="lineno"> 1125</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; <a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>; ++i) {</div>
<div class="line"><a name="l01126"></a><span class="lineno"> 1126</span>&#160;      recons[i] += centroid[i];</div>
<div class="line"><a name="l01127"></a><span class="lineno"> 1127</span>&#160;    }</div>
<div class="line"><a name="l01128"></a><span class="lineno"> 1128</span>&#160;}</div>
<div class="line"><a name="l01129"></a><span class="lineno"> 1129</span>&#160;</div>
<div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>&#160;} <span class="comment">// namespace faiss</span></div>
<div class="ttc" id="structfaiss_1_1IndexIVF_html"><div class="ttname"><a href="structfaiss_1_1IndexIVF.html">faiss::IndexIVF</a></div><div class="ttdef"><b>Definition:</b> <a href="IndexIVF_8h_source.html#l00166">IndexIVF.h:166</a></div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_html_a647b8774e4cd8ca5623a194f5c7f8a33"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer.html#a647b8774e4cd8ca5623a194f5c7f8a33">faiss::ScalarQuantizer::code_size</a></div><div class="ttdeci">size_t code_size</div><div class="ttdoc">bytes per vector </div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00060">IndexScalarQuantizer.h:60</a></div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_html_a1201dbd1611fa5c10782ade5d0e4952e"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952e">faiss::ScalarQuantizer::QuantizerType</a></div><div class="ttdeci">QuantizerType</div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00032">IndexScalarQuantizer.h:32</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexScalarQuantizer_html_abf24732c29106bb808148c3d30599662"><div class="ttname"><a href="structfaiss_1_1IndexScalarQuantizer.html#abf24732c29106bb808148c3d30599662">faiss::IndexScalarQuantizer::search</a></div><div class="ttdeci">void search(idx_t n, const float *x, idx_t k, float *distances, idx_t *labels) const override</div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8cpp_source.html#l00870">IndexScalarQuantizer.cpp:870</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexIVFScalarQuantizer_html_ac05d7fbfed59c85d1cf8ae526d279744"><div class="ttname"><a href="structfaiss_1_1IndexIVFScalarQuantizer.html#ac05d7fbfed59c85d1cf8ae526d279744">faiss::IndexIVFScalarQuantizer::train_residual</a></div><div class="ttdeci">void train_residual(idx_t n, const float *x) override</div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8cpp_source.html#l00927">IndexScalarQuantizer.cpp:927</a></div></div>
<div class="ttc" id="structfaiss_1_1InvertedLists_html_a3ab6b389d8d85c5fbf23889064df7e95"><div class="ttname"><a href="structfaiss_1_1InvertedLists.html#a3ab6b389d8d85c5fbf23889064df7e95">faiss::InvertedLists::get_ids</a></div><div class="ttdeci">virtual const idx_t * get_ids(size_t list_no) const =0</div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_html_a867ad0000e4ccfd40bbb1e01e7882d06ab0709ff74c1b882b64a7fdd7ca5df9a3"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06ab0709ff74c1b882b64a7fdd7ca5df9a3">faiss::ScalarQuantizer::RS_optim</a></div><div class="ttdoc">alternate optimization of reconstruction error </div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00050">IndexScalarQuantizer.h:50</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexScalarQuantizer_html"><div class="ttname"><a href="structfaiss_1_1IndexScalarQuantizer.html">faiss::IndexScalarQuantizer</a></div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00099">IndexScalarQuantizer.h:99</a></div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_html_a1201dbd1611fa5c10782ade5d0e4952ea029f07a15ea64e7e73daaf9633ac429a"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea029f07a15ea64e7e73daaf9633ac429a">faiss::ScalarQuantizer::QT_8bit_uniform</a></div><div class="ttdoc">same, shared range for all dimensions </div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00035">IndexScalarQuantizer.h:35</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexIVFScalarQuantizer_html_a0320af8f30a0e3491853743b8f6d0faa"><div class="ttname"><a href="structfaiss_1_1IndexIVFScalarQuantizer.html#a0320af8f30a0e3491853743b8f6d0faa">faiss::IndexIVFScalarQuantizer::reconstruct_from_offset</a></div><div class="ttdeci">void reconstruct_from_offset(long list_no, long offset, float *recons) const override</div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8cpp_source.html#l01116">IndexScalarQuantizer.cpp:1116</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexScalarQuantizer_html_ad49602f9ecfcaa2ec8737a449b69ccd7"><div class="ttname"><a href="structfaiss_1_1IndexScalarQuantizer.html#ad49602f9ecfcaa2ec8737a449b69ccd7">faiss::IndexScalarQuantizer::add</a></div><div class="ttdeci">void add(idx_t n, const float *x) override</div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8cpp_source.html#l00815">IndexScalarQuantizer.cpp:815</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexIVF_html_affed235eadf27a13d753ee4d33a1dc58"><div class="ttname"><a href="structfaiss_1_1IndexIVF.html#affed235eadf27a13d753ee4d33a1dc58">faiss::IndexIVF::nprobe</a></div><div class="ttdeci">size_t nprobe</div><div class="ttdoc">number of probes at query time </div><div class="ttdef"><b>Definition:</b> <a href="IndexIVF_8h_source.html#l00173">IndexIVF.h:173</a></div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_html_a1201dbd1611fa5c10782ade5d0e4952eacd3d1bd71533a7bc52149e4b3d1db13b"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952eacd3d1bd71533a7bc52149e4b3d1db13b">faiss::ScalarQuantizer::QT_4bit</a></div><div class="ttdoc">4 bits per component </div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00034">IndexScalarQuantizer.h:34</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html_a8bc5d8d1cd0dd7b34b3c98a9f76b4a9c"><div class="ttname"><a href="structfaiss_1_1Index.html#a8bc5d8d1cd0dd7b34b3c98a9f76b4a9c">faiss::Index::assign</a></div><div class="ttdeci">void assign(idx_t n, const float *x, idx_t *labels, idx_t k=1)</div><div class="ttdef"><b>Definition:</b> <a href="Index_8cpp_source.html#l00034">Index.cpp:34</a></div></div>
<div class="ttc" id="structfaiss_1_1InvertedLists_html_a9bd256053ee360473842105460fe285f"><div class="ttname"><a href="structfaiss_1_1InvertedLists.html#a9bd256053ee360473842105460fe285f">faiss::InvertedLists::list_size</a></div><div class="ttdeci">virtual size_t list_size(size_t list_no) const =0</div><div class="ttdoc">get the size of a list </div></div>
<div class="ttc" id="structfaiss_1_1IndexScalarQuantizer_html_af0d6b901a2a02fff34e5c7c1ea5b8d55"><div class="ttname"><a href="structfaiss_1_1IndexScalarQuantizer.html#af0d6b901a2a02fff34e5c7c1ea5b8d55">faiss::IndexScalarQuantizer::reset</a></div><div class="ttdeci">void reset() override</div><div class="ttdoc">removes all elements from the database. </div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8cpp_source.html#l00885">IndexScalarQuantizer.cpp:885</a></div></div>
<div class="ttc" id="structfaiss_1_1ScopeDeleter1_html"><div class="ttname"><a href="structfaiss_1_1ScopeDeleter1.html">faiss::ScopeDeleter1</a></div><div class="ttdef"><b>Definition:</b> <a href="FaissException_8h_source.html#l00052">FaissException.h:52</a></div></div>
<div class="ttc" id="structfaiss_1_1ScopeDeleter_html"><div class="ttname"><a href="structfaiss_1_1ScopeDeleter.html">faiss::ScopeDeleter</a></div><div class="ttdef"><b>Definition:</b> <a href="FaissException_8h_source.html#l00039">FaissException.h:39</a></div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_html"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer.html">faiss::ScalarQuantizer</a></div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00030">IndexScalarQuantizer.h:30</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexIVFScalarQuantizer_html_afa95c17787b7e3dbed9309b440d4d748"><div class="ttname"><a href="structfaiss_1_1IndexIVFScalarQuantizer.html#afa95c17787b7e3dbed9309b440d4d748">faiss::IndexIVFScalarQuantizer::add_with_ids</a></div><div class="ttdeci">void add_with_ids(idx_t n, const float *x, const long *xids) override</div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8cpp_source.html#l00946">IndexScalarQuantizer.cpp:946</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html_a2a002388d2c081c2dbab8508dcefe73d"><div class="ttname"><a href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">faiss::Index::d</a></div><div class="ttdeci">int d</div><div class="ttdoc">vector dimension </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00064">Index.h:64</a></div></div>
<div class="ttc" id="structfaiss_1_1InvertedLists_html_afc2760bed7c210f2fad9b03109f561ee"><div class="ttname"><a href="structfaiss_1_1InvertedLists.html#afc2760bed7c210f2fad9b03109f561ee">faiss::InvertedLists::get_single_code</a></div><div class="ttdeci">virtual const uint8_t * get_single_code(size_t list_no, size_t offset) const </div><div class="ttdef"><b>Definition:</b> <a href="IndexIVF_8cpp_source.html#l00129">IndexIVF.cpp:129</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexScalarQuantizer_html_a861fa059f9d4ced9147e08193a2be9be"><div class="ttname"><a href="structfaiss_1_1IndexScalarQuantizer.html#a861fa059f9d4ced9147e08193a2be9be">faiss::IndexScalarQuantizer::codes</a></div><div class="ttdeci">std::vector&lt; uint8_t &gt; codes</div><div class="ttdoc">Codes. Size ntotal * pq.code_size. </div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00104">IndexScalarQuantizer.h:104</a></div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_1_1DistanceComputer_html"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer_1_1DistanceComputer.html">faiss::ScalarQuantizer::DistanceComputer</a></div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00081">IndexScalarQuantizer.h:81</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexScalarQuantizer_html_a71381f74754d8a54812e80af46a2a83a"><div class="ttname"><a href="structfaiss_1_1IndexScalarQuantizer.html#a71381f74754d8a54812e80af46a2a83a">faiss::IndexScalarQuantizer::sq</a></div><div class="ttdeci">ScalarQuantizer sq</div><div class="ttdoc">Used to encode the vectors. </div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00101">IndexScalarQuantizer.h:101</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html_a040c6aed1f224f3ea7bf58eebc0c31a4"><div class="ttname"><a href="structfaiss_1_1Index.html#a040c6aed1f224f3ea7bf58eebc0c31a4">faiss::Index::idx_t</a></div><div class="ttdeci">long idx_t</div><div class="ttdoc">all indices are this type </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00062">Index.h:62</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html_a6970683faa021b7a6f1a0865c0d4eccd"><div class="ttname"><a href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">faiss::Index::ntotal</a></div><div class="ttdeci">idx_t ntotal</div><div class="ttdoc">total nb of indexed vectors </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00065">Index.h:65</a></div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_html_a867ad0000e4ccfd40bbb1e01e7882d06"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06">faiss::ScalarQuantizer::RangeStat</a></div><div class="ttdeci">RangeStat</div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00046">IndexScalarQuantizer.h:46</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexIVFScalarQuantizer_html"><div class="ttname"><a href="structfaiss_1_1IndexIVFScalarQuantizer.html">faiss::IndexIVFScalarQuantizer</a></div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00146">IndexScalarQuantizer.h:146</a></div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_html_a867ad0000e4ccfd40bbb1e01e7882d06ae41cccec3a7acbcb3a47fa63c2bfb4c8"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06ae41cccec3a7acbcb3a47fa63c2bfb4c8">faiss::ScalarQuantizer::RS_quantiles</a></div><div class="ttdoc">[Q(rs), Q(1-rs)] </div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00049">IndexScalarQuantizer.h:49</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexIVFScalarQuantizer_html_a341e473a62adcb03e07e53f67c1a7358"><div class="ttname"><a href="structfaiss_1_1IndexIVFScalarQuantizer.html#a341e473a62adcb03e07e53f67c1a7358">faiss::IndexIVFScalarQuantizer::search_preassigned</a></div><div class="ttdeci">void search_preassigned(idx_t n, const float *x, idx_t k, const idx_t *assign, const float *centroid_dis, float *distances, idx_t *labels, bool store_pairs) const override</div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8cpp_source.html#l01076">IndexScalarQuantizer.cpp:1076</a></div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_html_a867ad0000e4ccfd40bbb1e01e7882d06afb4b9f4ee9003fa0193e6de69632f7a0"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06afb4b9f4ee9003fa0193e6de69632f7a0">faiss::ScalarQuantizer::RS_meanstd</a></div><div class="ttdoc">[mean - std * rs, mean + std * rs] </div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00048">IndexScalarQuantizer.h:48</a></div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_html_a7ab9e9158da1777d45e6f9bf73bfd489"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer.html#a7ab9e9158da1777d45e6f9bf73bfd489">faiss::ScalarQuantizer::decode</a></div><div class="ttdeci">void decode(const uint8_t *code, float *x, size_t n) const </div><div class="ttdoc">decode a vector from a given code (or n vectors if third argument) </div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8cpp_source.html#l00768">IndexScalarQuantizer.cpp:768</a></div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_html_a2bccf276565c4f80fed3d0c715c58816"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer.html#a2bccf276565c4f80fed3d0c715c58816">faiss::ScalarQuantizer::compute_codes</a></div><div class="ttdeci">void compute_codes(const float *x, uint8_t *codes, size_t n) const </div><div class="ttdoc">same as compute_code for several vectors </div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8cpp_source.html#l00757">IndexScalarQuantizer.cpp:757</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html_a8e18f641854b2bde83ecff0a2f9a6f4e"><div class="ttname"><a href="structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e">faiss::Index::metric_type</a></div><div class="ttdeci">MetricType metric_type</div><div class="ttdoc">type of metric this index uses for search </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00072">Index.h:72</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexIVF_html_aa0e8fc5e04cbd8e0dde61f98bc7dd0bc"><div class="ttname"><a href="structfaiss_1_1IndexIVF.html#aa0e8fc5e04cbd8e0dde61f98bc7dd0bc">faiss::IndexIVF::invlists</a></div><div class="ttdeci">InvertedLists * invlists</div><div class="ttdoc">Acess to the actual data. </div><div class="ttdef"><b>Definition:</b> <a href="IndexIVF_8h_source.html#l00168">IndexIVF.h:168</a></div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_html_a1201dbd1611fa5c10782ade5d0e4952ea1650389e3efa052ff60177d502328a2c"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea1650389e3efa052ff60177d502328a2c">faiss::ScalarQuantizer::QT_8bit</a></div><div class="ttdoc">8 bits per component </div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00033">IndexScalarQuantizer.h:33</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html"><div class="ttname"><a href="structfaiss_1_1Index.html">faiss::Index</a></div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00060">Index.h:60</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexScalarQuantizer_html_a06e6935b75f0b209f65fffa1c9e1477c"><div class="ttname"><a href="structfaiss_1_1IndexScalarQuantizer.html#a06e6935b75f0b209f65fffa1c9e1477c">faiss::IndexScalarQuantizer::reconstruct_n</a></div><div class="ttdeci">void reconstruct_n(idx_t i0, idx_t ni, float *recons) const override</div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8cpp_source.html#l00891">IndexScalarQuantizer.cpp:891</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexScalarQuantizer_html_a8fb8680f64465d643d96119da58099f3"><div class="ttname"><a href="structfaiss_1_1IndexScalarQuantizer.html#a8fb8680f64465d643d96119da58099f3">faiss::IndexScalarQuantizer::reconstruct</a></div><div class="ttdeci">void reconstruct(idx_t key, float *recons) const override</div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8cpp_source.html#l00901">IndexScalarQuantizer.cpp:901</a></div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_html_a867ad0000e4ccfd40bbb1e01e7882d06aa52f2f14616c61c04baf6323d43588fd"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06aa52f2f14616c61c04baf6323d43588fd">faiss::ScalarQuantizer::RS_minmax</a></div><div class="ttdoc">[min - rs*(max-min), max + rs*(max-min)] </div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00047">IndexScalarQuantizer.h:47</a></div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_html_a30b411b10780a74079bbbfaff678c86f"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer.html#a30b411b10780a74079bbbfaff678c86f">faiss::ScalarQuantizer::trained</a></div><div class="ttdeci">std::vector&lt; float &gt; trained</div><div class="ttdoc">trained values (including the range) </div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00063">IndexScalarQuantizer.h:63</a></div></div>
<div class="ttc" id="structfaiss_1_1InvertedLists_html_a60b12f9efe940b617a8380adceef4032"><div class="ttname"><a href="structfaiss_1_1InvertedLists.html#a60b12f9efe940b617a8380adceef4032">faiss::InvertedLists::get_codes</a></div><div class="ttdeci">virtual const uint8_t * get_codes(size_t list_no) const =0</div></div>
<div class="ttc" id="structfaiss_1_1Level1Quantizer_html_a3cf99e2ee92b8558a066f821efab95d5"><div class="ttname"><a href="structfaiss_1_1Level1Quantizer.html#a3cf99e2ee92b8558a066f821efab95d5">faiss::Level1Quantizer::quantizer</a></div><div class="ttdeci">Index * quantizer</div><div class="ttdoc">quantizer that maps vectors to inverted lists </div><div class="ttdef"><b>Definition:</b> <a href="IndexIVF_8h_source.html#l00033">IndexIVF.h:33</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html_a6e92732617c4dbe364e7678dd8773a7f"><div class="ttname"><a href="structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f">faiss::Index::is_trained</a></div><div class="ttdeci">bool is_trained</div><div class="ttdoc">set if the Index does not require training, or if training is done already </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00069">Index.h:69</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html_aaae77608bbda70b1098897e9167a82f9"><div class="ttname"><a href="structfaiss_1_1Index.html#aaae77608bbda70b1098897e9167a82f9">faiss::Index::compute_residual</a></div><div class="ttdeci">void compute_residual(const float *x, float *residual, idx_t key) const </div><div class="ttdef"><b>Definition:</b> <a href="Index_8cpp_source.html#l00086">Index.cpp:86</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexIVF_html_a7f2dd34f66f8770acba74a0a591fa4a8"><div class="ttname"><a href="structfaiss_1_1IndexIVF.html#a7f2dd34f66f8770acba74a0a591fa4a8">faiss::IndexIVF::max_codes</a></div><div class="ttdeci">size_t max_codes</div><div class="ttdoc">max nb of codes to visit to do a query </div><div class="ttdef"><b>Definition:</b> <a href="IndexIVF_8h_source.html#l00174">IndexIVF.h:174</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexScalarQuantizer_html_a300647e9cdac9acd160f2c55c610056b"><div class="ttname"><a href="structfaiss_1_1IndexScalarQuantizer.html#a300647e9cdac9acd160f2c55c610056b">faiss::IndexScalarQuantizer::train</a></div><div class="ttdeci">void train(idx_t n, const float *x) override</div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8cpp_source.html#l00809">IndexScalarQuantizer.cpp:809</a></div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_html_acd88af01ad1d06560cecc30bc38aef49"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer.html#acd88af01ad1d06560cecc30bc38aef49">faiss::ScalarQuantizer::d</a></div><div class="ttdeci">size_t d</div><div class="ttdoc">dimension of input vectors </div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00057">IndexScalarQuantizer.h:57</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexIVF_html_a46d1aeddb60643c5b3f096147c3e028f"><div class="ttname"><a href="structfaiss_1_1IndexIVF.html#a46d1aeddb60643c5b3f096147c3e028f">faiss::IndexIVF::code_size</a></div><div class="ttdeci">size_t code_size</div><div class="ttdoc">code size per vector in bytes </div><div class="ttdef"><b>Definition:</b> <a href="IndexIVF_8h_source.html#l00171">IndexIVF.h:171</a></div></div>
<div class="ttc" id="namespacefaiss_html_afd12191c638da74760ff397cf319752c"><div class="ttname"><a href="namespacefaiss.html#afd12191c638da74760ff397cf319752c">faiss::MetricType</a></div><div class="ttdeci">MetricType</div><div class="ttdoc">Some algorithms support both an inner product version and a L2 search version. </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00043">Index.h:43</a></div></div>
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